{"id":"W3125744328","doi":"10.2139/ssrn.3133508","title":"Constant Job-Allowance Policies for Appointment Scheduling: Asymptotic Optimality and Numerical Analysis","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; McGill University","funders":"","keywords":"Allowance (engineering); Constant (computer programming); Scheduling (production processes); Mathematics; Computer science; Operations research; Mathematical economics; Mathematical optimization; Economics; Operations management","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":[0.01157339,0.001637886,0.003196955,0.002626508,0.001517672,0.003653907,0.003844852,0.003348321,0.007475871],"category_scores_gemma":[0.0688335,0.001192211,0.001958427,0.003503913,0.003412346,0.004928017,0.002769045,0.005918182,0.0006619642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004781549,"about_ca_system_score_gemma":0.005223973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246344,"about_ca_topic_score_gemma":0.0135239,"domain_scores_codex":[0.9974791,0.001204637,0.00008117369,0.0002655141,0.0004086833,0.0005607695],"domain_scores_gemma":[0.9464164,0.04776885,0.001970761,0.001138629,0.001775315,0.0009300074],"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":[0.0001986115,0.0001744956,0.000522877,0.0002104998,0.00003652371,0.00007027378,0.0001514233,0.9049903,0.000506075,0.08207408,0.002823528,0.008241339],"study_design_scores_gemma":[0.00003093739,0.00002386062,0.00013687,0.00002315244,0.00001570857,0.00001155155,0.00004070551,0.9850422,0.00007774627,0.01439953,0.0001854358,0.00001230464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1120852,0.004771118,0.8523301,0.002998269,0.0003662899,0.0003150622,0.0005469805,0.0005554239,0.02603156],"genre_scores_gemma":[0.8885747,0.002767792,0.09674683,0.0005573413,0.0003011404,0.0003593629,0.0003385894,0.0003295184,0.01002476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02246344,"threshold_uncertainty_score":0.06120664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04097075405651659,"score_gpt":0.404266536951818,"score_spread":0.3632957828953015,"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."}}