{"id":"W7099648302","doi":"","title":"The unmet demand for walkability: Disparities between preferences and actual choices for residential environments in Toronto and","year":2015,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Walkability; Preference; Built environment; Household income; Travel behavior; Metropolitan area","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":[0.0002632858,0.0001570584,0.0001365013,0.0004096274,0.0006583096,0.0006711368,0.0002353383,0.0001984892,0.002071033],"category_scores_gemma":[0.001169844,0.0001363491,0.0001486626,0.0008487846,0.0004117672,0.0002764355,0.0007095048,0.0001828235,0.0001372054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002389297,"about_ca_system_score_gemma":0.001239888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6620467,"about_ca_topic_score_gemma":0.8582017,"domain_scores_codex":[0.9997326,0.00003652949,0.00002668363,0.00004199782,0.00008334472,0.00007896453],"domain_scores_gemma":[0.999469,0.00006641643,0.0002025248,0.00002307786,0.00007688022,0.0001621522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008237279,0.0000156571,0.9899171,0.00003501795,0.00002372879,0.0001185682,0.00617394,0.00007702763,0.0005019562,0.00007235594,0.0001986759,0.002783522],"study_design_scores_gemma":[0.000001199966,0.00001579183,0.9968554,0.000006631833,0.000003669364,0.00003355656,0.002866932,0.00006420823,0.00002786137,0.000009726822,0.0001129,0.000002182159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994903,0.00004988819,0.00001612015,0.00002880695,6.313926e-7,0.000001772155,0.0001252181,5.354422e-7,0.0002867732],"genre_scores_gemma":[0.9997235,0.00003206523,0.00001770776,0.000005328926,4.697281e-7,0.000001708179,0.00008520381,3.309845e-7,0.0001336174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3379533,"threshold_uncertainty_score":0.6798872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546339797848814,"score_gpt":0.2713535603329534,"score_spread":0.2358901623544653,"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."}}