{"id":"W4404573214","doi":"10.2139/ssrn.5001220","title":"Methane Emission Index","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Index (typography); Methane; Environmental science; Computer science; Chemistry; World Wide Web; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001916569,0.0004869013,0.0004099698,0.002245511,0.0001716669,0.0004615003,0.0002665523,0.0002280159,0.02631108],"category_scores_gemma":[0.0008842815,0.00008443258,0.0003417256,0.001916028,0.00008010038,0.0004125878,0.0003354245,0.0002336031,0.01082301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004023824,"about_ca_system_score_gemma":0.0001956014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002350573,"about_ca_topic_score_gemma":0.002461294,"domain_scores_codex":[0.9996711,0.00002285978,0.00001409256,0.00007149424,0.0001766421,0.00004391421],"domain_scores_gemma":[0.999721,0.00006397444,0.00004220427,0.00003919685,0.0001043477,0.00002921626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002444762,0.0003930027,0.154206,0.001614931,0.0006561004,0.0004435235,0.0001888291,0.03937316,0.09711857,0.02194754,0.1840099,0.4976036],"study_design_scores_gemma":[0.00007815743,0.0005698917,0.4139588,0.0001554985,0.0002360479,0.0008858527,0.0003869939,0.03764742,0.09390471,0.01756623,0.4344769,0.0001335974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4279827,0.003756387,0.0282807,0.0003972429,0.0006947342,0.0002702489,0.257552,0.004632595,0.2764334],"genre_scores_gemma":[0.7894428,0.0014161,0.00913259,0.00009366462,0.0001481075,0.0001477713,0.140761,0.00064745,0.0582104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02631108,"threshold_uncertainty_score":0.08801931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004800315655625839,"score_gpt":0.2210995249532618,"score_spread":0.216299209297636,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}