{"id":"W7116089988","doi":"10.82417/4fam-sk30","title":"Integrated assessment of methane reduction technologies in Canada’s oil and gas sector","year":2025,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methane; Greenhouse gas; Fugitive emissions; Natural gas; Enhanced coal bed methane recovery; Fossil fuel; Oil sands; Coalbed methane; Oil shale","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007141662,0.001276489,0.0006237152,0.001292849,0.001213926,0.00208291,0.001386442,0.0009872095,0.001598163],"category_scores_gemma":[0.0008925181,0.0005209461,0.001181989,0.001821624,0.0007197908,0.0009048972,0.0008724768,0.0008346464,0.0002169903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03927042,"about_ca_system_score_gemma":0.02613244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9691441,"about_ca_topic_score_gemma":0.9582586,"domain_scores_codex":[0.9993981,0.00006218981,0.00001485998,0.00006182719,0.0002518582,0.0002111275],"domain_scores_gemma":[0.9994602,0.00008316736,0.00003547598,0.00002080991,0.0003396759,0.00006067774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001666196,0.00008547016,0.0123981,0.00007834989,0.0000710863,0.00009671636,0.00004229918,0.9774321,0.00125892,0.001788859,0.0007339214,0.005847625],"study_design_scores_gemma":[0.00008384515,0.0002495643,0.02464867,0.00004561517,0.0001545145,0.00003605564,0.0005921209,0.9628071,0.003381307,0.001087263,0.006822289,0.00009170535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474288,0.001006536,0.00581365,0.0007340685,0.00003702372,0.0002685422,0.00968944,0.0002021154,0.03481969],"genre_scores_gemma":[0.9862379,0.000662489,0.003682527,0.00005738351,0.000003143504,0.00005277913,0.003311526,0.0000244335,0.005967738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03927042,"threshold_uncertainty_score":0.2849281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113540514926151,"score_gpt":0.2653957182002702,"score_spread":0.2540416667076551,"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."}}