{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001348979,0.000114008,0.0001462074,0.0003706006,0.0004039175,0.0001305248,0.001264051,0.00001160672,0.0004138646],"category_scores_gemma":[0.00002653454,0.0001080559,0.0000357294,0.003268264,0.00008344036,0.0006236336,0.001395465,0.00009429373,0.00009044429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000688144,"about_ca_system_score_gemma":0.00008125609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008443934,"about_ca_topic_score_gemma":0.00001033443,"domain_scores_codex":[0.998111,0.00002185107,0.0001971709,0.0004229672,0.0008988033,0.0003482046],"domain_scores_gemma":[0.999305,0.00001861132,0.0001033224,0.0003766069,0.0001678731,0.00002858626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006333209,0.002209077,0.009673136,0.001538578,0.00007118831,0.00005666794,0.00447904,0.4269047,0.0162023,0.4578026,0.06146137,0.018968],"study_design_scores_gemma":[0.001531083,0.000136723,0.006371048,0.00004253398,0.00006272222,0.000009971066,0.008525399,0.3194702,0.0006490985,0.004006532,0.6583344,0.0008602853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4447344,0.00012777,0.01288537,0.007079701,0.002229419,0.003005462,0.00001403192,0.000386494,0.5295373],"genre_scores_gemma":[0.9938107,0.000001243953,0.001421921,0.004000782,0.000159599,0.0001319747,0.000004852634,0.00001068038,0.0004582839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.596873,"threshold_uncertainty_score":0.4531527,"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."}}