{"id":"W4406887122","doi":"10.2139/ssrn.5045567","title":"Methane Emission Drivers and Baseline Calculations","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Baseline (sea); Methane; Environmental science; Geology; 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":[0.0007123934,0.0004593142,0.0005445511,0.0009042201,0.0006306103,0.000895704,0.001220805,0.0006547931,0.008746071],"category_scores_gemma":[0.001530639,0.0002673092,0.0008017833,0.00130725,0.000194183,0.001127415,0.0005641903,0.0006693119,0.002178916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277007,"about_ca_system_score_gemma":0.0008615658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03602765,"about_ca_topic_score_gemma":0.02418764,"domain_scores_codex":[0.9994511,0.0001497562,0.00002229774,0.0001115873,0.000148072,0.000117188],"domain_scores_gemma":[0.9995748,0.0001210702,0.00002011193,0.0000998798,0.0001664113,0.00001760838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004282782,0.001288914,0.05402038,0.0006039362,0.0003466474,0.0005179577,0.0004305036,0.7457703,0.005673531,0.05902035,0.04108146,0.08696325],"study_design_scores_gemma":[0.0008836005,0.001306708,0.141533,0.0001343899,0.0003198161,0.0002832663,0.001370767,0.6907082,0.03076626,0.04954839,0.08289531,0.0002503476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8249722,0.0006594004,0.03895194,0.0004408848,0.0002614764,0.0001953967,0.05336773,0.001704171,0.07944669],"genre_scores_gemma":[0.9691282,0.0001410758,0.005458293,0.00004327682,0.00001923875,0.0001207906,0.01501965,0.0002194158,0.009850005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03602765,"threshold_uncertainty_score":0.07163584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00730650052828806,"score_gpt":0.2431793826593223,"score_spread":0.2358728821310342,"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."}}