{"id":"W806465586","doi":"","title":"INTELLIGENT TRANSPORTATION SYSTEMS STRATEGIES FOR GREENHOUSE GAS REDUCTION IN CANADA","year":2000,"lang":"en","type":"article","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Context (archaeology); Kyoto Protocol; Environmental economics; Intelligent transportation system; Software deployment; Market penetration; Carbon offset; Business; Transport engineering; Environmental science; Engineering; Economics","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":[0.0009934391,0.0006770106,0.0002161317,0.001481336,0.004086094,0.004161884,0.001096444,0.0009909596,0.01575547],"category_scores_gemma":[0.001555,0.0001747917,0.0005034183,0.002106768,0.001331276,0.001239251,0.001424056,0.0009146708,0.0007527604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07255489,"about_ca_system_score_gemma":0.1610022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902095,"about_ca_topic_score_gemma":0.9917865,"domain_scores_codex":[0.9984883,0.0001143099,0.00003393318,0.00009709998,0.0008293952,0.0004368926],"domain_scores_gemma":[0.9988379,0.00005268497,0.00003476517,0.00001856396,0.0009071034,0.0001490045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001716882,0.0001847938,0.01035994,0.0009477609,0.00007702981,0.0005327577,0.00287252,0.01551237,0.006002062,0.4550511,0.1989451,0.3093429],"study_design_scores_gemma":[0.00006036082,0.0001064102,0.01625231,0.0003865189,0.00009979521,0.000103606,0.004135598,0.01588885,0.002868781,0.0183912,0.9416246,0.0000818636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06273498,0.02037382,0.01522428,0.06678592,0.0008108923,0.0005322213,0.002029102,0.0005445883,0.8309641],"genre_scores_gemma":[0.685344,0.03108336,0.03077503,0.007677988,0.0001842712,0.0002091041,0.002161408,0.0001402837,0.2424246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07255489,"threshold_uncertainty_score":0.526425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200418731353278,"score_gpt":0.2045162064650089,"score_spread":0.1925120191514761,"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."}}