{"id":"W2045281861","doi":"10.12927/hcpol.2007.18679","title":"Determinants of Unacceptable Waiting Times for Specialized Services in Canada","year":2007,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Logistic regression; Medicine; Odds; Health care; Health services; Demography; Service (business); Univariate; Family medicine; Waiting period; Medical emergency; Environmental health; Business; Population; Statistics","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":[0.0005680678,0.0001648775,0.0001888146,0.0007453582,0.00151266,0.0007433731,0.0006206843,0.0002322666,0.002867761],"category_scores_gemma":[0.00358211,0.0001200856,0.0004240959,0.001646705,0.0006569859,0.0001997432,0.0007005429,0.0008075467,0.00008962325],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01252084,"about_ca_system_score_gemma":0.02345164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.962082,"about_ca_topic_score_gemma":0.9710156,"domain_scores_codex":[0.9990453,0.00005388478,0.0000695444,0.00006598199,0.000385263,0.0003799642],"domain_scores_gemma":[0.9943458,0.000507866,0.001668968,0.00007465437,0.001409092,0.001993517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000549801,0.00002246376,0.9929698,0.00004524343,0.00002320386,0.0001232204,0.0006928017,0.0002125768,0.0001536622,0.0001610845,0.0009538537,0.004587062],"study_design_scores_gemma":[0.000002550584,0.00001839809,0.9978122,0.00002795313,0.000006727877,0.00008341294,0.001079993,0.0003074145,0.00004014597,0.00005256595,0.0005602727,0.000008318649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961761,0.0003902411,0.0001236276,0.0006994666,0.000009224088,0.00002153437,0.0008773842,0.000008425801,0.001693909],"genre_scores_gemma":[0.9992293,0.0001480565,0.00009278749,0.00005699564,0.000003973603,0.000004671434,0.0002784996,0.000002835552,0.0001829295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9874792,"threshold_uncertainty_score":0.09084547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05527330406987014,"score_gpt":0.4484647157671599,"score_spread":0.3931914116972898,"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."}}