{"id":"W4212873944","doi":"10.1287/serv.2021.0298","title":"A Newsvendor Approach to Design of Surgical Preference Cards","year":2022,"lang":"en","type":"article","venue":"Service Science","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Newsvendor model; Consumables; Computer science; Preference; Operations research; Operations management; Business; Economics; Statistics; Marketing; Mathematics; Supply chain","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008869602,0.001884991,0.00222776,0.001869805,0.0009769663,0.003942861,0.002699407,0.002192847,0.01381886],"category_scores_gemma":[0.01979198,0.002657944,0.001657275,0.001809462,0.002464601,0.004222864,0.002548743,0.002785896,0.001273539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003026538,"about_ca_system_score_gemma":0.002988662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002959695,"about_ca_topic_score_gemma":0.0034051,"domain_scores_codex":[0.9924242,0.00409165,0.0003984557,0.001322019,0.001149062,0.0006144915],"domain_scores_gemma":[0.9879315,0.008262414,0.001057144,0.0006777276,0.001635985,0.000435256],"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":[0.0002935444,0.0001019444,0.0009060993,0.0001618632,0.00006682824,0.0002395248,0.0002198665,0.8171197,0.001290474,0.1404211,0.001499525,0.03767956],"study_design_scores_gemma":[0.00007647307,0.000187459,0.0001559444,0.00002570981,0.0000309381,0.00005583488,0.00006153076,0.9585454,0.0007476016,0.03686719,0.003210254,0.00003563308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01097846,0.0001609559,0.9830785,0.0002714817,0.00004184667,0.0003071872,0.0001221706,0.0001571505,0.004882343],"genre_scores_gemma":[0.4276091,0.0006262896,0.5564445,0.0002919269,0.0001204269,0.0009883443,0.0004643735,0.0001607324,0.01329424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01381886,"threshold_uncertainty_score":0.04690748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06949090919837443,"score_gpt":0.2393127397000076,"score_spread":0.1698218305016331,"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."}}