{"id":"W4253006428","doi":"10.32920/ryerson.14667930","title":"Spatial accessibility to mental health care in the City of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Mental health; Public health; Service delivery framework; Health care; Service (business); Geography; Business; Medicine; Environmental health; Nursing; Political science; Psychiatry; Marketing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002096801,0.0002170395,0.000166185,0.001551193,0.001696922,0.001478291,0.0003548845,0.000157272,0.004242084],"category_scores_gemma":[0.001856265,0.0001529527,0.000288177,0.0056705,0.0007394419,0.00043372,0.001526282,0.0001898776,0.0003079485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01188036,"about_ca_system_score_gemma":0.008226814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9710373,"about_ca_topic_score_gemma":0.9841896,"domain_scores_codex":[0.999647,0.00007105207,0.00002444974,0.0000542044,0.0001110889,0.00009225202],"domain_scores_gemma":[0.9990636,0.0001922072,0.000254437,0.00005204182,0.0002720843,0.0001657415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001304269,0.00004014204,0.9209083,0.0005345416,0.0001438979,0.0009272741,0.03403343,0.004253254,0.0006827565,0.004657063,0.01012523,0.02356383],"study_design_scores_gemma":[0.000003429097,0.00001419518,0.9756576,0.00009058983,0.00002450687,0.00009854914,0.0181304,0.0009293573,0.00007566451,0.0001989916,0.004758289,0.00001846157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761045,0.0006227465,0.000446809,0.0003613803,0.000008962513,0.00004367832,0.0129357,0.00002419451,0.009452034],"genre_scores_gemma":[0.9954001,0.0004108303,0.0004111532,0.00001717534,0.000004047858,0.00002121764,0.002335855,0.000005188044,0.001394483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02896267,"threshold_uncertainty_score":0.08619839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477332775353891,"score_gpt":0.375899581466587,"score_spread":0.3411262537130481,"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."}}