{"id":"W3160213952","doi":"","title":"Pricing It Right for Climate: Using Mobility Pricing to Drive Down Transport Emissions in Metro Vancouver and Montreal","year":2020,"lang":"en","type":"article","venue":"","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Transport engineering; Business; Meteorology; Economics; Geography; Engineering","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":[0.001144308,0.0005523296,0.0004960154,0.0005188665,0.001510461,0.002696835,0.001743641,0.001017095,0.002508747],"category_scores_gemma":[0.004331321,0.0004584713,0.0005700426,0.001095425,0.0008066403,0.0008230355,0.0007983844,0.00128473,0.000143634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02420403,"about_ca_system_score_gemma":0.01868461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880953,"about_ca_topic_score_gemma":0.9933831,"domain_scores_codex":[0.9991892,0.0002692223,0.00001867944,0.00009109926,0.000087275,0.0003444979],"domain_scores_gemma":[0.9985734,0.0005277867,0.0001040967,0.00004704378,0.0003701325,0.0003775461],"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":[0.002203973,0.002085359,0.2407758,0.0001872039,0.0007618485,0.0009576535,0.001031872,0.6726051,0.002853448,0.009385694,0.01892595,0.0482261],"study_design_scores_gemma":[0.0004842198,0.0004364323,0.1558755,0.00003908616,0.000334151,0.00004723165,0.005399614,0.8276279,0.001524839,0.00234445,0.005725781,0.0001608226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899285,0.0001781195,0.001276834,0.001614196,0.0000284757,0.00009606233,0.0004811419,0.00005851901,0.006338179],"genre_scores_gemma":[0.9957139,0.000106786,0.0009745552,0.00008352428,0.000006680894,0.00002173776,0.0001964275,0.00001181195,0.002884625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02420403,"threshold_uncertainty_score":0.1756133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480540573730853,"score_gpt":0.3046829683329036,"score_spread":0.2798775625955951,"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."}}