{"id":"W3042755183","doi":"10.1111/cag.12638","title":"Who uses ride‐hailing? Policy implications and evidence from the Greater Toronto and Hamilton Area","year":2020,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Context (archaeology); Public transport; Public policy; Business; Social mobility; Marketing; Economics; Demographic economics; Economic growth; Sociology; Geography; Political science; Social science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006718915,0.0002713562,0.000224354,0.000414564,0.0004689961,0.0001579964,0.0002451455,0.0001004408,0.00004200282],"category_scores_gemma":[0.0000883016,0.0002447797,0.00007758474,0.001727516,0.0006844182,0.0003812968,0.00001331012,0.0001501045,0.000001333233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005805106,"about_ca_system_score_gemma":0.00008733163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7549405,"about_ca_topic_score_gemma":0.9955125,"domain_scores_codex":[0.9987432,0.00002130526,0.00029265,0.0003633325,0.00009034231,0.000489108],"domain_scores_gemma":[0.9985717,0.0001704036,0.00003732963,0.0003590097,0.0001091015,0.0007524564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001175328,0.000004654745,0.944663,0.00009937641,0.0003357751,0.00001195658,0.02118992,0.0002200044,0.0004872803,0.0120308,0.01166781,0.00927762],"study_design_scores_gemma":[0.0001429086,0.00003162306,0.9600225,0.00006916215,0.00006781283,0.000006715737,0.004786372,0.000167917,0.000033564,0.0005196622,0.03382495,0.0003267769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783499,0.008577283,0.00003861776,0.01127689,0.0001052343,0.0003354973,0.0007668781,0.0002001519,0.0003495135],"genre_scores_gemma":[0.9888742,0.008118991,0.0001021322,0.002575402,0.0001223658,0.000088792,0.00006883195,0.00003376108,0.00001551532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2405721,"threshold_uncertainty_score":0.9981827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869915683098658,"score_gpt":0.2073118174872652,"score_spread":0.1886126606562786,"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."}}