{"id":"W7057591573","doi":"","title":"Invest in the ride: A 14 year longitudinal analysis of the T determinants of public transport ridership in 25 North American cities","year":2018,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Public transport; Revenue; Transit (satellite); Kilometer; Total revenue; Vehicle miles of travel; Public support","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001162791,0.0003218932,0.0003355072,0.001117383,0.001310727,0.001304415,0.0008633297,0.001262077,0.002201065],"category_scores_gemma":[0.001764499,0.0006531635,0.001041543,0.002128534,0.0007560361,0.001455828,0.001474568,0.001378985,0.0006682517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500675,"about_ca_system_score_gemma":0.002050149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3356311,"about_ca_topic_score_gemma":0.3751082,"domain_scores_codex":[0.9991949,0.0002032832,0.00007215492,0.0001471928,0.00007214102,0.000310205],"domain_scores_gemma":[0.9975459,0.0002596583,0.0008697318,0.0002278415,0.0004211453,0.0006755698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004474209,0.0001198912,0.9985641,0.000003385428,0.0000512443,0.00003584194,0.0004425492,0.00006290288,0.00004983849,0.00001806818,0.0002170885,0.0003903232],"study_design_scores_gemma":[0.000002916826,0.00005553137,0.9971219,0.00000566515,0.00002085278,0.00001655139,0.002269144,0.0001977312,0.00002301458,0.00001261202,0.0002677365,0.000006342532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985561,0.0000742509,0.00005899317,0.0001004224,0.000007988922,0.000008656937,0.0008483946,0.000003875951,0.0003412486],"genre_scores_gemma":[0.9982485,0.00006553755,0.00002862386,0.0000411301,0.000004473548,0.00001545721,0.0007335523,0.000002862653,0.0008598633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3356311,"threshold_uncertainty_score":0.6673551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625113791637474,"score_gpt":0.2661777394337933,"score_spread":0.2299266015174186,"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."}}