{"id":"W3153691144","doi":"10.1016/j.cor.2021.105295","title":"Appointment scheduling with a quantile objective","year":2021,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; Western University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scheduling (production processes); Operations research; Overtime; Job shop scheduling; Operations management; Schedule; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004838838,0.0009639004,0.002706097,0.001009977,0.0005253374,0.001752263,0.002348064,0.001602792,0.01067665],"category_scores_gemma":[0.008414601,0.0008312936,0.001169871,0.002338628,0.0007349807,0.001632769,0.001739089,0.002180205,0.0009548677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002028838,"about_ca_system_score_gemma":0.002423062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0107167,"about_ca_topic_score_gemma":0.005580516,"domain_scores_codex":[0.9980393,0.0009250996,0.00006663265,0.0003128839,0.0001990327,0.0004570125],"domain_scores_gemma":[0.9972646,0.00172324,0.0002520714,0.0002400611,0.0002757114,0.0002443661],"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":[0.0002073663,0.0001221172,0.0005741027,0.00007297424,0.00004065856,0.00002748922,0.00002460945,0.9599762,0.0004025294,0.01378829,0.003047987,0.02171567],"study_design_scores_gemma":[0.00002026326,0.00004630748,0.0001837863,0.000005321377,0.000007902528,0.000005252293,0.000008478223,0.9946883,0.00009304259,0.004631472,0.0003056544,0.000004298283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03562384,0.0007799102,0.9557462,0.001211064,0.0002133696,0.0001773291,0.0008213313,0.0007266007,0.004700306],"genre_scores_gemma":[0.8272622,0.0008246818,0.154208,0.000480299,0.000530939,0.0003081591,0.00110596,0.0004462661,0.01483354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0107167,"threshold_uncertainty_score":0.03571695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1855499173152807,"score_gpt":0.5142373692982883,"score_spread":0.3286874519830076,"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."}}