{"id":"W2109971354","doi":"10.1057/palgrave.jors.2602235","title":"A simulation study of scheduling clinic appointments in surgical care: individual surgeon <i>versus</i> pooled lists","year":2006,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Vancouver General Hospital; Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Medicine; Scheduling (production processes); Discrete event simulation; Pooling; Medical emergency; Asynchronous communication; Operations management; Computer science; Simulation; Artificial intelligence; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009192678,0.0001200162,0.0003296135,0.000160713,0.001141939,0.00005083022,0.0003393555,0.000220631,0.0001586591],"category_scores_gemma":[0.001656039,0.00008398843,0.0001924895,0.0008817756,0.00008529834,0.0003215151,0.0001684783,0.001629411,0.000009436354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005870442,"about_ca_system_score_gemma":0.002344587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006371919,"about_ca_topic_score_gemma":0.0007176515,"domain_scores_codex":[0.9930804,0.002968719,0.001554268,0.0001936368,0.00181574,0.0003872011],"domain_scores_gemma":[0.9929928,0.003210315,0.0004689368,0.0002290849,0.00300215,0.00009671435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006257243,0.001295876,0.1476036,0.0001044712,0.0001134911,0.000007739331,0.01474433,0.8330522,0.0001378606,0.0007262431,0.001178718,0.0004096619],"study_design_scores_gemma":[0.04582555,0.003985582,0.4393717,0.001773951,0.0002097546,0.00001009143,0.2041398,0.2943825,0.0001717472,0.0007220128,0.008695203,0.0007121084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958565,0.0001992014,0.0001919781,0.001565343,0.0005166063,0.001110397,0.00001732904,0.000005268897,0.0005374108],"genre_scores_gemma":[0.9966262,0.00005440046,0.002287997,0.00007976846,0.0005281782,0.0000331624,0.00003204955,0.0000167975,0.0003414423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5386697,"threshold_uncertainty_score":0.8782985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2040889459157151,"score_gpt":0.5314158404879024,"score_spread":0.3273268945721872,"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."}}