{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001360068,0.0001392159,0.0004076805,0.0002757295,0.0005038314,0.00000555455,0.0001456769,0.000171291,0.0001110484],"category_scores_gemma":[0.0003208818,0.0001373732,0.00003588424,0.0005571315,0.00001498595,0.0001076964,0.00003952576,0.0002724628,0.000006165949],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340795,"about_ca_system_score_gemma":0.01059361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896476,"about_ca_topic_score_gemma":0.9976071,"domain_scores_codex":[0.9972165,0.0002429608,0.001230798,0.0002376952,0.0002080485,0.000863946],"domain_scores_gemma":[0.9981126,0.000590064,0.0003643354,0.0002403894,0.0004624815,0.0002301992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001684452,0.00003487233,0.9361823,0.0034094,0.000005877859,0.000005925859,0.005134812,0.0003059788,0.0000490312,0.01645193,0.0003627193,0.03788875],"study_design_scores_gemma":[0.006636245,0.0004022233,0.8124459,0.003764522,0.00002458642,0.000008328009,0.05431753,0.07555821,0.001412901,0.002676331,0.0417284,0.001024822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883034,0.0002199413,0.0003168323,0.006533896,0.0005196421,0.001603926,0.0001470254,0.00003075165,0.002324538],"genre_scores_gemma":[0.9906278,0.00008862997,0.004893186,0.003160456,0.0006328541,0.00009134323,0.00005679829,0.00003177033,0.0004171577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1237364,"threshold_uncertainty_score":0.9950154,"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."}}