{"id":"W4392613193","doi":"10.1080/20476965.2024.2325991","title":"A simple and practical approach to improving the cost effectiveness of surgical inventory management","year":2024,"lang":"en","type":"article","venue":"Health Systems","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; London Health Sciences Centre","keywords":"Economic shortage; Intuition; Computer science; Operations management; Operations research; Operating room management; Service level; Heuristic; Service (business); Set (abstract data type); Simple (philosophy); Management science; Business; Economics; Engineering; Artificial intelligence; Marketing; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002528463,0.001449002,0.0009075151,0.001344057,0.000847754,0.001898803,0.001439299,0.001262715,0.01055406],"category_scores_gemma":[0.01340922,0.0005145724,0.0007184244,0.00154418,0.001099476,0.001900958,0.001211166,0.001419184,0.0009617877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00254164,"about_ca_system_score_gemma":0.005347946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00934808,"about_ca_topic_score_gemma":0.01175524,"domain_scores_codex":[0.9977443,0.001039565,0.00009353204,0.0001806092,0.0007810906,0.0001609885],"domain_scores_gemma":[0.9960334,0.002340274,0.0004065515,0.0005578707,0.0005615838,0.0001002863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003216276,0.0006975397,0.003069138,0.0005241575,0.0001420462,0.0001564707,0.0001523983,0.6167211,0.01067468,0.06432504,0.008628664,0.2945872],"study_design_scores_gemma":[0.0001793035,0.001196611,0.00336409,0.0001053884,0.00009896955,0.0002748095,0.0003152875,0.9162141,0.007210468,0.05714909,0.01381366,0.0000782321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07361279,0.001490053,0.8660879,0.005268807,0.0003636744,0.000681118,0.000383658,0.001609025,0.05050311],"genre_scores_gemma":[0.5924864,0.0007077684,0.4028056,0.0004187415,0.0001058595,0.0001544879,0.0001397414,0.0001008195,0.003080684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01055406,"threshold_uncertainty_score":0.03530687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223996250498206,"score_gpt":0.4718497346984764,"score_spread":0.3494501096486557,"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."}}