{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008493364,0.0002138291,0.0002281442,0.0001892233,0.0001431626,0.00004147787,0.0001829744,0.0002324742,0.00004543117],"category_scores_gemma":[0.00003278821,0.0001943743,0.00009468444,0.0001219009,0.00001897193,0.00007234741,0.0001227233,0.003679722,0.000003655976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005231683,"about_ca_system_score_gemma":0.001076151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002409118,"about_ca_topic_score_gemma":0.0000657778,"domain_scores_codex":[0.9983681,0.00004272796,0.0002688323,0.0001741874,0.000150239,0.0009959572],"domain_scores_gemma":[0.9995295,0.00004090555,0.00005816438,0.0001922311,0.00005614161,0.0001230083],"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":[0.00006270268,0.00008105067,0.005020628,0.0007174404,0.001329013,0.00001875159,0.0007478858,0.4228736,0.00466851,0.01453642,0.005078221,0.5448658],"study_design_scores_gemma":[0.00133323,0.0001028507,0.0009550009,0.001128843,0.0003398754,0.0004470841,0.0006091085,0.8595486,0.001558091,0.07279339,0.0601207,0.001063205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7484134,0.04530755,0.1935932,0.001720008,0.002151273,0.0004621195,0.00008658997,0.0004840959,0.007781839],"genre_scores_gemma":[0.9343214,0.05826482,0.0008806612,0.00003685765,0.0004063534,0.000008039314,0.0000400669,0.00003108863,0.006010726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5438026,"threshold_uncertainty_score":0.9986188,"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."}}