{"id":"W4235461721","doi":"10.30955/gnj.001360","title":"Electric vehicles and traffic related pollution reduction: a simulation model for Hamilton, Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Global NEST Journal","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Environmental science; Reduction (mathematics); Pollution; Meteorology; Transport engineering; Engineering; Geography; Ecology; Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003519092,0.0008219202,0.0006132798,0.0007555993,0.001899976,0.001382544,0.002236272,0.001434163,0.0100738],"category_scores_gemma":[0.001199994,0.0005090056,0.0008108199,0.001776501,0.0009559532,0.0005816292,0.0007564134,0.0007653032,0.0005702926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0197092,"about_ca_system_score_gemma":0.01852058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9767069,"about_ca_topic_score_gemma":0.9709809,"domain_scores_codex":[0.9997376,0.00005404351,0.000008999155,0.00004234858,0.00005935195,0.00009757304],"domain_scores_gemma":[0.9993798,0.0001653403,0.00003409446,0.000015813,0.0003281902,0.00007672563],"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":[0.00008710633,0.00006739052,0.005335844,0.00003789871,0.00002146823,0.0001486775,0.000103517,0.9829084,0.0002495473,0.004801279,0.003867706,0.002371263],"study_design_scores_gemma":[0.00007326869,0.00002765758,0.002308694,0.00001303505,0.00002147231,0.00001079337,0.0002448295,0.9930762,0.0001033773,0.0006972205,0.003405106,0.00001833054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8254419,0.0007751975,0.0264157,0.002703262,0.0001575823,0.0005683039,0.02122597,0.000512705,0.1221993],"genre_scores_gemma":[0.942265,0.0005431479,0.008816211,0.0001262261,0.00001653634,0.0002568827,0.005786579,0.00006289013,0.04212642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02329314,"threshold_uncertainty_score":0.1430009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007351315471589538,"score_gpt":0.2028010308787653,"score_spread":0.1954497154071758,"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."}}