{"id":"W1964095050","doi":"10.3141/2375-06","title":"Urban Transportation Greenhouse Gas Emissions and Their Link with Urban Form, Transit Accessibility, and Emerging Green Technologies","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Concordia University; McGill University","funders":"","keywords":"Greenhouse gas; Transport engineering; Train; Transit (satellite); Public transport; Fuel efficiency; Environmental science; Business; Land use; Environmental economics; Natural resource economics; Engineering; Economics; Automotive engineering; Geography; Civil engineering","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":[0.0003370015,0.0002852679,0.000130932,0.0009649806,0.0001669855,0.0006553302,0.0002571246,0.0001600859,0.001442051],"category_scores_gemma":[0.0009028668,0.0001100872,0.0004203397,0.001880366,0.0004499918,0.000423006,0.0004958924,0.0002203623,0.0001440243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002156394,"about_ca_system_score_gemma":0.001271486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2361549,"about_ca_topic_score_gemma":0.349003,"domain_scores_codex":[0.9998004,0.00004448097,0.00000692133,0.00002821322,0.00006978385,0.00005024019],"domain_scores_gemma":[0.9992335,0.0001832893,0.0002764571,0.00003815095,0.0002129448,0.00005563724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006875566,0.00007922842,0.9514941,0.00007507572,0.0001659383,0.0003189479,0.0002703965,0.0270567,0.001067056,0.003399015,0.0006220315,0.01538266],"study_design_scores_gemma":[0.000002177107,0.00005196264,0.9853334,0.00001632097,0.00005460282,0.0000721891,0.0005804757,0.01032143,0.0003492157,0.001101302,0.002106664,0.00001035377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847072,0.0008554487,0.002011308,0.0002605744,0.000005866508,0.00003108878,0.001499777,0.00001935472,0.01060942],"genre_scores_gemma":[0.9976047,0.0004358099,0.0003907683,0.00001574442,0.000005387432,0.000009186477,0.0004097756,0.000003945485,0.001124661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2361549,"threshold_uncertainty_score":0.4695607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06079235575188115,"score_gpt":0.3646449326970965,"score_spread":0.3038525769452154,"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."}}