{"id":"W4210314198","doi":"10.3390/su14031441","title":"How Many Electric Vehicles Are Needed to Reach CO2 Emissions Goals? A Case Study from Montreal, Canada","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Polytechnique Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Greenhouse gas; Order (exchange); Electricity; Baseline (sea); Environmental science; Environmental economics; Public transport; Climate change; Business; Transport engineering; Engineering; Economics; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004923193,0.0007941301,0.0002844686,0.0007806256,0.002768699,0.001522344,0.001558259,0.0007948906,0.003093153],"category_scores_gemma":[0.001146147,0.0002401073,0.0006307121,0.002334493,0.0009798146,0.0006922685,0.0005282168,0.0006895313,0.0002169299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04216296,"about_ca_system_score_gemma":0.02106782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939731,"about_ca_topic_score_gemma":0.9964244,"domain_scores_codex":[0.9992335,0.0001371885,0.00001699914,0.00007695951,0.0001780563,0.0003573025],"domain_scores_gemma":[0.9992279,0.0001461268,0.00004124055,0.00002570773,0.0004049413,0.0001540577],"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":[0.0008914432,0.001233109,0.2367016,0.0009579185,0.0004629731,0.01587445,0.002875678,0.5533161,0.008534672,0.03764407,0.06962433,0.07188371],"study_design_scores_gemma":[0.0005040977,0.0006338901,0.355931,0.0004099712,0.0005453664,0.001405232,0.03689824,0.4843884,0.006966504,0.004884813,0.1070234,0.0004090928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394743,0.001877293,0.003940571,0.00265633,0.00006205093,0.000366704,0.006273719,0.0001210431,0.0452279],"genre_scores_gemma":[0.9869802,0.000875248,0.002705487,0.0001773197,0.000008863831,0.00003827833,0.001564878,0.00002323893,0.007626543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04216296,"threshold_uncertainty_score":0.3059151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004486703920136524,"score_gpt":0.2024176112808486,"score_spread":0.1979309073607121,"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."}}