{"id":"W2199187331","doi":"10.1007/978-1-4614-5885-2_18","title":"The Challenges of Hospital Supply Chain Management, from Central Stores to Nursing Units","year":2013,"lang":"en","type":"book-chapter","venue":"International series in management science/operations research/International series in operations research & management science","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Supply chain; Business; Health care; Operations management; Supply chain management; Quality (philosophy); Notice; Purchasing; Process management; Marketing; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["sts"],"category_scores_codex":[0.004947891,0.0005549786,0.000382482,0.006101619,0.002062802,0.002392582,0.006176914,0.000148452,0.0005724306],"category_scores_gemma":[0.0006147939,0.0005295359,0.00008058632,0.002700076,0.005587403,0.003737105,0.002605526,0.001123452,0.0001888193],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003986921,"about_ca_system_score_gemma":0.0002288133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003578876,"about_ca_topic_score_gemma":0.002762001,"domain_scores_codex":[0.9892147,0.0001564263,0.001240806,0.001613287,0.006150768,0.001623992],"domain_scores_gemma":[0.9958361,0.0002265408,0.000074013,0.001355981,0.002183264,0.000324096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000431692,0.00008640455,0.00001592805,0.00004036331,0.00008651403,0.00003919509,0.000885469,0.4303378,0.00004458215,0.55915,0.0009362681,0.008334287],"study_design_scores_gemma":[0.002592639,0.0007939159,0.01902019,0.005710206,0.0000690974,0.00001609184,0.03807727,0.4210506,0.002032945,0.2273234,0.2801607,0.003152947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002893296,0.00059359,0.0091108,0.01322919,0.005524373,0.005321532,0.0002998601,0.0002019137,0.9628255],"genre_scores_gemma":[0.6179651,0.05168127,0.04209908,0.00006664191,0.0005349322,0.00233508,0.0004440852,0.0001764987,0.2846973],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6781281,"threshold_uncertainty_score":0.9998366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04151701218879016,"score_gpt":0.3441685754549778,"score_spread":0.3026515632661876,"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."}}