{"id":"W4407248556","doi":"10.24908/cpp-apc.v2025i1.18858","title":"Book Review: Urban Mobility: How the iPhone, COVID, and Climate Changed Everything by Shauna Brail and Betsy Donald","year":2025,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); History; Gerontology; Medicine; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402381,0.001241149,0.001816123,0.003533751,0.001336682,0.003877484,0.002110218,0.003378672,0.03938093],"category_scores_gemma":[0.007927794,0.0007206739,0.0008613606,0.007292049,0.00135239,0.002816809,0.001185003,0.003976679,0.01835629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008282985,"about_ca_system_score_gemma":0.01559954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1381898,"about_ca_topic_score_gemma":0.3163704,"domain_scores_codex":[0.9984488,0.0002378349,0.000113669,0.0001797326,0.000888064,0.0001318108],"domain_scores_gemma":[0.992933,0.002237759,0.000419039,0.0001074335,0.003712427,0.0005902894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005352506,0.000002056606,0.00002716185,0.0003592019,0.000005496483,0.000004695163,0.00001155753,0.00001102264,0.00000667302,0.0003816138,0.9890574,0.01012776],"study_design_scores_gemma":[0.00001208626,0.000007015256,0.0003753637,0.00144611,0.00001891783,0.0000644828,0.00005524813,0.00001411795,0.00001871964,0.0003893126,0.9975889,0.000009815883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006882509,0.8647912,0.0001198273,0.07795666,0.04507688,0.00002667713,0.0006634938,0.00002649125,0.01126997],"genre_scores_gemma":[0.00138446,0.8754456,0.0002381682,0.02851639,0.02598169,0.00006596384,0.0006649211,0.00005510203,0.06764773],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1381898,"threshold_uncertainty_score":0.2747708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05887043894307712,"score_gpt":0.3594968337910476,"score_spread":0.3006263948479704,"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."}}