{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02371099,0.0004170364,0.0003118142,0.001129365,0.0007552739,0.001353047,0.0009681124,0.0004390261,0.0008473271],"category_scores_gemma":[0.07304104,0.0002827125,0.000665259,0.0008578369,0.0006252668,0.001080531,0.001195129,0.0005773808,0.0001363974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009791945,"about_ca_system_score_gemma":0.01326732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1000465,"about_ca_topic_score_gemma":0.09623321,"domain_scores_codex":[0.991461,0.005082744,0.0008960272,0.0004107522,0.001692826,0.0004565555],"domain_scores_gemma":[0.9427997,0.02036002,0.01615188,0.002512815,0.01441465,0.003760925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002793653,0.001272703,0.8756862,0.0004117299,0.0001833521,0.00007662208,0.003829979,0.00438451,0.001008479,0.0004929834,0.002028794,0.107831],"study_design_scores_gemma":[0.0009302536,0.007828517,0.932272,0.0001992765,0.0002138329,0.000121907,0.00264586,0.05161161,0.001071686,0.0003926445,0.002599017,0.000113261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928153,0.0001434989,0.003432295,0.0003779146,0.00002900197,0.00166689,0.0006450167,0.0001066685,0.0007834816],"genre_scores_gemma":[0.9901793,0.0000579346,0.008230422,0.0000545329,0.00001623574,0.0007424913,0.0005681716,0.000005473973,0.0001454372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1000465,"threshold_uncertainty_score":0.1989284,"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."}}