{"id":"W3201196337","doi":"10.1016/j.jtrangeo.2021.103197","title":"Shared mobility adoption from 2016 to 2018 in the Greater Toronto and Hamilton Area: Demographic or geographic diffusion?","year":2021,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Distance decay; Business; Travel survey; Demographic economics; Diffusion of innovations; Descriptive statistics; Geography; Travel behavior; Economic geography; Marketing; Economics; Transport engineering; Statistics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00110669,0.0001878639,0.0003182294,0.00148465,0.001219817,0.002201789,0.00100438,0.0006882793,0.004049358],"category_scores_gemma":[0.004810695,0.0002444318,0.000561131,0.003722976,0.0009090304,0.002150221,0.002515522,0.001138386,0.0003048646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007970527,"about_ca_system_score_gemma":0.01011845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8552381,"about_ca_topic_score_gemma":0.9335804,"domain_scores_codex":[0.9989499,0.0001157223,0.00008833222,0.0001927738,0.0002486408,0.0004046001],"domain_scores_gemma":[0.9959532,0.0002943314,0.001324133,0.0001988802,0.001083902,0.001145559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005624273,0.00003189652,0.9801202,0.00005193245,0.00007543886,0.00009281095,0.008290129,0.0001325822,0.0001005716,0.0007684423,0.003213485,0.007066262],"study_design_scores_gemma":[0.000002289516,0.00001613681,0.985141,0.00005543558,0.00001898864,0.00004543186,0.01098451,0.0002191295,0.00004384228,0.00006374769,0.003398605,0.00001065695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894242,0.0006301694,0.0001607716,0.002395043,0.00004811906,0.00002992896,0.005042966,0.00001234151,0.002256502],"genre_scores_gemma":[0.9963359,0.0003555068,0.00008971114,0.0001115317,0.00002040424,0.00002116001,0.001723136,0.000005385246,0.001337267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1447619,"threshold_uncertainty_score":0.2912289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278975035201239,"score_gpt":0.2197054440867016,"score_spread":0.2069156937346892,"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."}}