{"id":"W1985147182","doi":"10.1016/s0840-4704(10)60574-1","title":"Measuring and Managing Waiting Times: What's to Be Done?","year":2002,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Ideal (ethics); Data collection; Operations research; Computer science; Operations management; Waiting list; Business; Medical emergency; Medicine; Political science; Statistics; Engineering; Law; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010132,0.0002392479,0.0002969689,0.0003708106,0.002326935,0.0001580656,0.0001726187,0.000151917,0.0004440873],"category_scores_gemma":[0.0000693226,0.0002436599,0.00004291888,0.000506808,0.00002250733,0.0006144469,0.0003125877,0.0004719087,0.0003230396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731673,"about_ca_system_score_gemma":0.00003226582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005634234,"about_ca_topic_score_gemma":0.001016243,"domain_scores_codex":[0.9968382,0.0003942621,0.0007350028,0.000573897,0.0003889065,0.001069782],"domain_scores_gemma":[0.9986244,0.000126226,0.0001438012,0.0004621222,0.0001993613,0.0004440433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006254056,0.0001404125,0.01883925,0.005076075,0.0001279214,0.00008375462,0.02232088,0.00131869,0.00001376915,0.2330124,0.04428748,0.6747168],"study_design_scores_gemma":[0.003111637,0.0004998798,0.007569843,0.006066294,0.00009638738,0.00001569043,0.2450255,0.1546499,0.00001361327,0.002723734,0.5786309,0.001596572],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07883443,0.003762845,0.01280361,0.8456296,0.002271718,0.005780853,0.00001898646,0.0007167912,0.05018112],"genre_scores_gemma":[0.9174731,0.00507898,0.01673914,0.04973811,0.0002682268,0.0005609822,0.00004208238,0.00008622524,0.01001309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8386387,"threshold_uncertainty_score":0.9989719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1402462181684421,"score_gpt":0.3701545243151724,"score_spread":0.2299083061467303,"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."}}