{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/carbon-assessment-with-ml","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/41f59c59-d2d3-4b60-9588-e7f146303a67","json_url":"https://onlylabs.fyi/signals/41f59c59-d2d3-4b60-9588-e7f146303a67/signal.json","generated_at":"2026-06-11T03:57:06.851204+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/41f59c59-d2d3-4b60-9588-e7f146303a67","signal_json":"https://onlylabs.fyi/signals/41f59c59-d2d3-4b60-9588-e7f146303a67/signal.json","source":"https://github.com/amazon-science/carbon-assessment-with-ml","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"product","label":"Product and customer","url":"https://onlylabs.fyi/data-radar/product","json_url":"https://onlylabs.fyi/data-radar/product/signals.json"}]}},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/carbon-assessment-with-ml (Jupyter Notebook). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo amazon-science/carbon-assessment-with-ml · language Jupyter Notebook. onlylabs links this event to 1 captured evidence page and 6 related repo signals. It also maps to Product and customer in the data-business radar.","signal_desk":"repos","source_context":{"source_url":"https://github.com/amazon-science/carbon-assessment-with-ml","source_host":"github.com","occurred_at":"2023-02-12T01:48:51+00:00","first_seen_at":"2026-06-06T01:49:32.065372+00:00","date_source":"source","context":"Jupyter Notebook"},"context_markers":[{"label":"Lab","value":"Amazon (Nova)","source":"signal"},{"label":"Signal desk","value":"repos","source":"signal"},{"label":"Source host","value":"github.com","source":"source"},{"label":"Repository","value":"amazon-science/carbon-assessment-with-ml","source":"source"},{"label":"Language","value":"Jupyter Notebook","source":"source"},{"label":"Stars","value":"57","source":"traction"},{"label":"Radar lane","value":"Product and customer","source":"radar"},{"label":"Matched term","value":"product","source":"radar"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Safety and alignment","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/amazon-science/carbon-assessment-with-ml"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T03:57:06.851204+00:00"},"data_business":{"matches":true,"lanes":[{"key":"product","label":"Product and customer","url":"https://onlylabs.fyi/data-radar/product","json_url":"https://onlylabs.fyi/data-radar/product/signals.json"}],"matched_terms":["product"],"score":14,"reason":"Amazon (Nova) has a repo signal matching product and customer."},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/41f59c59-d2d3-4b60-9588-e7f146303a67/signal.json","dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","topic_signals_json":null,"topic_feed":null,"category_signals_json":"https://onlylabs.fyi/signals.json","data_radar_json":"https://onlylabs.fyi/data-radar.json","opportunities_json":"https://onlylabs.fyi/opportunities.json"},"analysis_playbook":{"objective":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","evidence_focus":["repo name","owner","description","language","stars","source URL","first seen time","data, eval, infra, safety, and product terms"],"extraction_questions":["What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Is the repo new evidence for a lab direction that is not yet in writing or releases?","Which related signals should an analyst inspect next?"],"signal_questions":["What does this new repository reveal before a formal announcement exists?","What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Which data-business lane explains this signal: Product and customer?","Do the 6 related repo signals show a repeated pattern?"],"output_fields":["org","repo","technical_theme","data_business_lane","evidence_url"],"data_business_relevance":"New repositories can expose organization build priorities early, especially around internal tooling, eval infrastructure, data systems, deployment, and agent workflows.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/41f59c59-d2d3-4b60-9588-e7f146303a67/signal.json","required":true},{"label":"source","url":"https://github.com/amazon-science/carbon-assessment-with-ml","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/amazon/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/amazon/evidence.json","required":true},{"label":"topic_signals_json","url":null,"required":false},{"label":"data_radar_json","url":"https://onlylabs.fyi/data-radar.json","required":true}],"expected_output":["one-paragraph source-grounded interpretation","data-business implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Amazon (Nova)'s repo signal \"amazon-science/carbon-assessment-with-ml\" for frontier lab strategy and data-business implications."},"semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/carbon-assessment-with-ml","text":"Amazon (Nova) published repo amazon-science/carbon-assessment-with-ml."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"is classified as","object":"repo signal","text":"amazon-science/carbon-assessment-with-ml is classified as repo signal."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"belongs to","object":"repos desk","text":"amazon-science/carbon-assessment-with-ml belongs to repos desk."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has context","object":"Jupyter Notebook","text":"amazon-science/carbon-assessment-with-ml has context Jupyter Notebook."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/carbon-assessment-with-ml has evidence coverage 1 captured evidence page."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"matches data-business lanes","object":"Product and customer","text":"amazon-science/carbon-assessment-with-ml matches data-business lanes Product and customer."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has captured page count","object":"1","text":"amazon-science/carbon-assessment-with-ml has captured page count 1."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has readable page count","object":"1","text":"amazon-science/carbon-assessment-with-ml has readable page count 1."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has related signal count","object":"6","text":"amazon-science/carbon-assessment-with-ml has related signal count 6."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has analysis playbook objective","object":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","text":"amazon-science/carbon-assessment-with-ml has analysis playbook objective Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has source host","object":"github.com","text":"amazon-science/carbon-assessment-with-ml has source host github.com."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has lab","object":"Amazon (Nova)","text":"amazon-science/carbon-assessment-with-ml has lab Amazon (Nova)."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has signal desk","object":"repos","text":"amazon-science/carbon-assessment-with-ml has signal desk repos."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has source host","object":"github.com","text":"amazon-science/carbon-assessment-with-ml has source host github.com."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has repository","object":"amazon-science/carbon-assessment-with-ml","text":"amazon-science/carbon-assessment-with-ml has repository amazon-science/carbon-assessment-with-ml."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has language","object":"Jupyter Notebook","text":"amazon-science/carbon-assessment-with-ml has language Jupyter Notebook."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has stars","object":"57","text":"amazon-science/carbon-assessment-with-ml has stars 57."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has radar lane","object":"Product and customer","text":"amazon-science/carbon-assessment-with-ml has radar lane Product and customer."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has matched term","object":"product","text":"amazon-science/carbon-assessment-with-ml has matched term product."}]},"intelligence":{"signal_desk":"repos","answer":"Amazon (Nova) published amazon-science/carbon-assessment-with-ml (Jupyter Notebook). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo amazon-science/carbon-assessment-with-ml · language Jupyter Notebook. onlylabs links this event to 1 captured evidence page and 6 related repo signals. It also maps to Product and customer in the data-business radar.","semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/carbon-assessment-with-ml","text":"Amazon (Nova) published repo amazon-science/carbon-assessment-with-ml."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"is classified as","object":"repo signal","text":"amazon-science/carbon-assessment-with-ml is classified as repo signal."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"belongs to","object":"repos desk","text":"amazon-science/carbon-assessment-with-ml belongs to repos desk."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has context","object":"Jupyter Notebook","text":"amazon-science/carbon-assessment-with-ml has context Jupyter Notebook."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/carbon-assessment-with-ml has evidence coverage 1 captured evidence page."},{"subject":"amazon-science/carbon-assessment-with-ml","predicate":"matches data-business lanes","object":"Product and customer","text":"amazon-science/carbon-assessment-with-ml matches data-business lanes Product and customer."}]},"signal":{"id":"41f59c59-d2d3-4b60-9588-e7f146303a67","url":"https://onlylabs.fyi/signals/41f59c59-d2d3-4b60-9588-e7f146303a67","json_url":"https://onlylabs.fyi/signals/41f59c59-d2d3-4b60-9588-e7f146303a67/signal.json","source_url":"https://github.com/amazon-science/carbon-assessment-with-ml","title":"amazon-science/carbon-assessment-with-ml","summary":"Amazon (Nova) published a new repository. onlylabs watches repos for tooling, eval, infra, and model-adjacent work.","context":"Jupyter Notebook","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2023-02-12T01:48:51+00:00","first_seen_at":"2026-06-06T01:49:32.065372+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/amazon-science/carbon-assessment-with-ml"]},"facets":{"repo":"amazon-science/carbon-assessment-with-ml","language":"Jupyter Notebook"},"traction":{"github_stars":57,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":{"lanes":[{"key":"product","label":"Product and customer","url":"https://onlylabs.fyi/data-radar/product"}],"score":14,"matched_terms":["product"],"reason":"Amazon (Nova) has a repo signal matching product and customer."}},"primary_evidence_page":{"url":"https://github.com/amazon-science/carbon-assessment-with-ml","final_url":"https://github.com/amazon-science/carbon-assessment-with-ml","title":"amazon-science/carbon-assessment-with-ml repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:57:06.851204+00:00","bytes":21734,"raw_path":"b92a97ac01b1320d3ce8d08dac885b27fbd5a7abe68888c6edce68617c787243.json","content_hash":"b75fdbc8bc249376d9e7bc2405022a202d0332e95e038104c666502101e91bde","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/carbon-assessment-with-ml Description: CaML: Carbon Footprinting of Household Products with Zero-Shot Semantic Text Similarity Language: Jupyter Notebook License: Apache-2.0 Stars: 57 Forks: 11 Open issues: 0 Created: 2023-02-12T01:48:51Z Pushed: 2026-06-11T00:41:19Z Default branch: main Fork: no Archived: no README: Carbon assessment with machine learning This code repository presents a machine learning based method for selection of an Environmental Impact Factor (EIF) for a given product, material, or activity, which is a fundamental step of carbon footprinting. The code documents the methods in the following research papers. 1. EIF matching with generative AI, published in [CCAI@NeurIPS 2024](https://www.climatechange.ai/) -- \\ [Parakeet: Emission Factor Recommendation for Carbon Footprinting with Generative AI](https://www.amazon.science/publications/parakeet-emission-factor-recommendation-for-carbon-footprinting-with-generative-ai) \\ Bharathan Balaji, Fahimeh Ebrahimi, Nina Domingo, Gargeya Vunnava, Abu-Zaher Faridee, Soma Ramalingam, Shikha Gupta, Anran Wang, Harsh Gupta, Domenic Belcastro, Kellen Axten, Jeremie Hakian, Aravind Srinivasan, Qingshi Tu, Jared..."},"evidence_pages":[{"url":"https://github.com/amazon-science/carbon-assessment-with-ml","final_url":"https://github.com/amazon-science/carbon-assessment-with-ml","title":"amazon-science/carbon-assessment-with-ml repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:57:06.851204+00:00","bytes":21734,"raw_path":"b92a97ac01b1320d3ce8d08dac885b27fbd5a7abe68888c6edce68617c787243.json","content_hash":"b75fdbc8bc249376d9e7bc2405022a202d0332e95e038104c666502101e91bde","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/carbon-assessment-with-ml Description: CaML: Carbon Footprinting of Household Products with Zero-Shot Semantic Text Similarity Language: Jupyter Notebook License: Apache-2.0 Stars: 57 Forks: 11 Open issues: 0 Created: 2023-02-12T01:48:51Z Pushed: 2026-06-11T00:41:19Z Default branch: main Fork: no Archived: no README: Carbon assessment with machine learning This code repository presents a machine learning based method for selection of an Environmental Impact Factor (EIF) for a given product, material, or activity, which is a fundamental step of carbon footprinting. The code documents the methods in the following research papers. 1. EIF matching with generative AI, published in [CCAI@NeurIPS 2024](https://www.climatechange.ai/) -- \\ [Parakeet: Emission Factor Recommendation for Carbon Footprinting with Generative AI](https://www.amazon.science/publications/parakeet-emission-factor-recommendation-for-carbon-footprinting-with-generative-ai) \\ Bharathan Balaji, Fahimeh Ebrahimi, Nina Domingo, Gargeya Vunnava, Abu-Zaher Faridee, Soma Ramalingam, Shikha Gupta, Anran Wang, Harsh Gupta, Domenic Belcastro, Kellen Axten, Jeremie Hakian, Aravind Srinivasan, Qingshi Tu, Jared..."}],"related_signals":[{"id":"087c32a2-6ad0-4981-9315-11fdd32a0153","url":"https://onlylabs.fyi/signals/087c32a2-6ad0-4981-9315-11fdd32a0153","source_url":"https://github.com/amazon-science/reskill","title":"amazon-science/reskill","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-06-04T02:13:35+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e5701aed-6cd3-48dd-bfa6-ef839031e2e8","url":"https://onlylabs.fyi/signals/e5701aed-6cd3-48dd-bfa6-ef839031e2e8","source_url":"https://github.com/amazon-science/dualkv-flash-attn-for-rl","title":"amazon-science/dualkv-flash-attn-for-rl","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-27T17:38:58+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"8af28f0c-7331-4b08-b517-e18b3555e503","url":"https://onlylabs.fyi/signals/8af28f0c-7331-4b08-b517-e18b3555e503","source_url":"https://github.com/amazon-science/EvoMAS","title":"amazon-science/EvoMAS","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-19T19:23:29+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e3ff8718-7daa-4ebd-a3e6-3d825c538b74","url":"https://onlylabs.fyi/signals/e3ff8718-7daa-4ebd-a3e6-3d825c538b74","source_url":"https://github.com/amazon-science/adaptive-layerwise-perturbation","title":"amazon-science/adaptive-layerwise-perturbation","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-14T17:44:17+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"9afcd328-0124-485c-8ace-9c3ad546e316","url":"https://onlylabs.fyi/signals/9afcd328-0124-485c-8ace-9c3ad546e316","source_url":"https://github.com/amazon-science/temporal-reasoning-dataset","title":"amazon-science/temporal-reasoning-dataset","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-13T13:07:08+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e19ce80b-3d6a-4aaf-9b1a-82d1b19ab682","url":"https://onlylabs.fyi/signals/e19ce80b-3d6a-4aaf-9b1a-82d1b19ab682","source_url":"https://github.com/amazon-science/PROF-GRPO","title":"amazon-science/PROF-GRPO","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-12T19:43:55+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"}]}