{"id":"W2399058929","doi":"","title":"The evaluation of a formalized queue management system for coronary angiography waiting lists.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Humanities; Medicine; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.005898205,0.00007676184,0.0001277197,0.00009744691,0.001102817,0.00001442011,0.0001054627,0.00008034224,0.00001060219],"category_scores_gemma":[0.0001452201,0.00005577339,0.0001007332,0.0002306193,0.00002009233,0.0001190652,0.00002849093,0.00009391276,0.000004034252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378116,"about_ca_system_score_gemma":0.00009562167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004850292,"about_ca_topic_score_gemma":0.0001531937,"domain_scores_codex":[0.9980942,0.0005000325,0.0005824829,0.0001396842,0.0003093506,0.0003742654],"domain_scores_gemma":[0.9985903,0.0002477916,0.0002405954,0.0002189883,0.0006343407,0.00006796898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000132161,0.00004158336,0.003255303,0.0006183324,0.0001199041,1.601988e-7,0.001069754,0.004932068,0.000002869074,0.05233799,0.001519947,0.9359699],"study_design_scores_gemma":[0.006069085,0.00004963342,0.1937403,0.0002906919,0.0004417625,0.000002207236,0.01589588,0.7382875,0.00005093635,0.0003512071,0.04453094,0.0002899019],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.748693,0.006335871,0.06297342,0.02453445,0.003947492,0.06280549,0.0001805728,0.0006152159,0.08991442],"genre_scores_gemma":[0.9746627,0.00007619353,0.005995272,0.0001818212,0.0001830097,0.01843302,0.00005572565,0.00001520219,0.000397062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.93568,"threshold_uncertainty_score":0.8482091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1247406757262175,"score_gpt":0.4038934667864606,"score_spread":0.2791527910602432,"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."}}