{"id":"W2046133647","doi":"10.1016/j.healthplace.2010.01.009","title":"Spatial clustering and the temporal mobility of walking school trips in the Greater Toronto Area, Canada","year":2010,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"TRIPS architecture; Geography; Psychological intervention; Cluster (spacecraft); Statistic; Logistic regression; Demography; Psychology; Medicine; Transport engineering; Sociology; Computer science; Statistics","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":[0.0005579327,0.0002523476,0.0004042524,0.002283172,0.002717354,0.001731024,0.001073868,0.0004252418,0.00293399],"category_scores_gemma":[0.003673123,0.0003089984,0.0006495226,0.007377504,0.0008748398,0.0005832284,0.001073452,0.0005850838,0.0002289717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02467896,"about_ca_system_score_gemma":0.02385368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974028,"about_ca_topic_score_gemma":0.9986886,"domain_scores_codex":[0.9993041,0.00009271624,0.00005492124,0.0001264924,0.0001792555,0.0002425042],"domain_scores_gemma":[0.9973263,0.0003059937,0.0004983476,0.000104463,0.001245764,0.0005191998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001224994,0.00003206298,0.982259,0.0000744636,0.0001652124,0.0001580156,0.003345183,0.00205348,0.0002220405,0.001118782,0.003551914,0.006897369],"study_design_scores_gemma":[0.00000376205,0.000007106965,0.9946412,0.00003912933,0.00002255717,0.00003114021,0.002803599,0.001238165,0.00002517841,0.00007279628,0.001102554,0.00001279321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894671,0.00133437,0.0002682646,0.0007358057,0.00002200205,0.00003050057,0.005033254,0.00001586068,0.003092712],"genre_scores_gemma":[0.9967589,0.0005355968,0.0001700577,0.00002226342,0.00000791706,0.00001023669,0.001193194,0.000005976646,0.001295827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02467896,"threshold_uncertainty_score":0.1790592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747779704136847,"score_gpt":0.2903594946851636,"score_spread":0.2728816976437952,"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."}}