{"id":"W4403168669","doi":"10.3138/9781487553678-007","title":"4 Urban Mobility and the Digital Economy: Capturing the Experiences of Canadian Cities","year":2024,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic geography; Geography; Economy; Economics","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":[0.0005068204,0.0006450788,0.000336105,0.003578677,0.0127941,0.01314625,0.00112049,0.001228196,0.01911066],"category_scores_gemma":[0.001301857,0.0002525532,0.0003513775,0.01690138,0.005761369,0.004034428,0.003495523,0.001348324,0.001048032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0833015,"about_ca_system_score_gemma":0.078703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9894906,"about_ca_topic_score_gemma":0.9967632,"domain_scores_codex":[0.9993392,0.0000904307,0.00001005461,0.00005426631,0.0001728246,0.0003332664],"domain_scores_gemma":[0.9995136,0.0000930704,0.0000309417,0.00002383785,0.0001633725,0.0001751526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003501906,0.00002145809,0.01400589,0.0003688141,0.0000131523,0.000795996,0.3697266,0.001012843,0.0003619207,0.3073574,0.1890553,0.1172455],"study_design_scores_gemma":[0.000001390523,0.000004273003,0.01467991,0.00037029,0.00001264204,0.0001232357,0.2580334,0.0002048308,0.00007491423,0.00546897,0.7210042,0.00002210945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1208895,0.03045126,0.001912838,0.02087043,0.0004365681,0.00008198108,0.003080332,0.0001195553,0.8221575],"genre_scores_gemma":[0.6995659,0.03109519,0.002209764,0.001794673,0.00008438052,0.00007575674,0.00124937,0.0001603125,0.2637647],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0833015,"threshold_uncertainty_score":0.6043975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168772351154479,"score_gpt":0.1447326946486939,"score_spread":0.127855459533246,"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."}}