{"id":"W56420166","doi":"10.1023/a:1011457627757","title":"Modeling and Analysis of Multistate Access to Elective Surgery","year":2001,"lang":"en","type":"article","venue":"Health Care Management Science","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Elective surgery; Waiting list; Scheduling (production processes); Queue; Health informatics; Health administration; Computer science; Medical emergency; Operations management; Surgery; Nursing; Public health; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003153786,0.001031927,0.001831689,0.001281091,0.0007941324,0.002380737,0.002636367,0.00217433,0.005799914],"category_scores_gemma":[0.008984495,0.001610751,0.001746399,0.001532334,0.001204116,0.00177054,0.001302813,0.002129048,0.0003657129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004496659,"about_ca_system_score_gemma":0.0038798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1149458,"about_ca_topic_score_gemma":0.08077439,"domain_scores_codex":[0.9984649,0.0006077349,0.00006272735,0.0002557225,0.0001425834,0.0004662948],"domain_scores_gemma":[0.9924913,0.005617496,0.0006725843,0.0001988896,0.0004513307,0.0005683547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005428153,0.00005306462,0.002103127,0.000009901214,0.00002929783,0.00002729853,0.00002011965,0.9931711,0.00006748131,0.003006916,0.000392808,0.001064669],"study_design_scores_gemma":[0.000006696539,0.00001068703,0.0005873147,0.000001340142,0.000008361467,0.000004613472,0.00001716524,0.997843,0.00002597129,0.001409277,0.00008228354,0.000003287574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8385659,0.0008011305,0.143685,0.004487115,0.0002238911,0.0001953685,0.003370569,0.0004133896,0.008257486],"genre_scores_gemma":[0.987057,0.0002232006,0.007216082,0.00008014176,0.00006813496,0.00008538843,0.0006815926,0.00004453611,0.00454392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1149458,"threshold_uncertainty_score":0.2285535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09935176150681232,"score_gpt":0.4824522750420861,"score_spread":0.3831005135352737,"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."}}