{"id":"W2990105917","doi":"","title":"Optimal Supply Network with Vendor Managed Inventory in a Healthcare System with RFID Investment Consideration","year":2019,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"RFID technology advancements","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Managed care; Supply chain; Vendor-managed inventory; Vendor; Investment (military); Health care; Operations management; Supply chain management; Computer science; Finance; Marketing; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003182891,0.0002717861,0.0004228209,0.0003316018,0.0001681822,0.00001863228,0.0003378175,0.0002318328,0.00006219417],"category_scores_gemma":[0.000006652679,0.0003100058,0.00004944695,0.0005734977,0.0001450439,0.0006843941,0.0001130084,0.000593972,0.00009209133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006786425,"about_ca_system_score_gemma":0.00007563994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001071006,"about_ca_topic_score_gemma":0.001483726,"domain_scores_codex":[0.9983792,0.0001226095,0.0002120679,0.0004144018,0.0003638055,0.000507864],"domain_scores_gemma":[0.9990778,0.00003779008,0.0001415327,0.0005269021,0.00008114664,0.0001348315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005765834,0.00004987559,0.8711178,0.0005869092,0.0002083115,0.0002916056,0.0006487812,0.122173,0.0009833223,0.003087121,0.0001660531,0.0001106806],"study_design_scores_gemma":[0.01323881,0.001440573,0.9583037,0.002529619,0.0001686481,0.000190603,0.005473878,0.01212083,0.002809231,0.000294111,0.002028976,0.001401028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968351,0.0003060161,0.0003132092,0.0003618469,0.0001281261,0.0008211298,0.00001727259,0.0003185151,0.0008988526],"genre_scores_gemma":[0.9939019,0.0000178448,0.005591948,0.0001045904,0.00001788219,0.000004674622,0.00004421498,0.00004642569,0.0002705356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1100521,"threshold_uncertainty_score":0.9999352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007695866645303272,"score_gpt":0.1785586150130202,"score_spread":0.1708627483677169,"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."}}