{"id":"W4313020197","doi":"10.1016/j.ifacol.2022.09.414","title":"Patient Scheduling: The Case of an Iranian Cardiology Clinic","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Medicine; Schedule; Time constraint; Scheduling (production processes); Constraint programming; Constraint (computer-aided design); Emergency medicine; Medical emergency; Family medicine; Computer science; Operations management; Engineering; Statistics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004553587,0.0001816203,0.0004715436,0.0002382882,0.001054664,0.00006273061,0.0008744108,0.00007892548,0.001725616],"category_scores_gemma":[0.002704453,0.0001195841,0.0003286611,0.001167241,0.0002741167,0.0001232175,0.0003506594,0.0005494814,0.0001573166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004600939,"about_ca_system_score_gemma":0.0002024206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002241458,"about_ca_topic_score_gemma":0.0001636928,"domain_scores_codex":[0.9961639,0.001120886,0.0008960723,0.0006098429,0.000802875,0.000406404],"domain_scores_gemma":[0.9962117,0.001710385,0.0004026984,0.001234787,0.0002757111,0.0001647159],"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":[0.0009986124,0.002505125,0.0169761,0.00002405419,0.000848749,0.006471164,0.02441945,0.353631,0.006606869,0.007645903,0.0005886749,0.5792843],"study_design_scores_gemma":[0.007598984,0.008595644,0.01926577,0.0000487969,0.0009823596,0.02594018,0.2927833,0.5146586,0.001140761,0.03365009,0.09264193,0.002693566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929579,0.0005712633,0.0005852817,0.002958979,0.001120471,0.000220394,0.0003270741,0.000062316,0.001196253],"genre_scores_gemma":[0.9480098,0.000007715504,0.05044131,0.0006579991,0.0002344699,0.00002982227,0.0000220051,0.00001870261,0.0005781926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5765907,"threshold_uncertainty_score":0.9991869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157111129848687,"score_gpt":0.3943454244822475,"score_spread":0.2786343114973788,"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."}}