{"id":"W4294667015","doi":"10.1111/trf.17080","title":"A data‐driven approach to determine daily platelet order quantities at hospitals","year":2022,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Stroke Network; Canadian Blood Services; McMaster University; University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Economic shortage; Order (exchange); Operations management; Medicine; Quality (philosophy); Task (project management); Emergency medicine; Statistics; Business; Mathematics; Economics","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":[0.00168559,0.001053507,0.0007014123,0.001475559,0.0004251702,0.001186235,0.002046692,0.001052016,0.001673859],"category_scores_gemma":[0.005938141,0.0008586768,0.0008709697,0.001459042,0.0003183202,0.0009624908,0.0005917386,0.001360002,0.000387196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002546642,"about_ca_system_score_gemma":0.002900404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06195711,"about_ca_topic_score_gemma":0.08151744,"domain_scores_codex":[0.9992598,0.0002166067,0.00006594959,0.0002316374,0.0001522193,0.00007375087],"domain_scores_gemma":[0.9959061,0.002391149,0.0004807556,0.0002037821,0.0008196006,0.0001986098],"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":[0.0001079723,0.0002159679,0.02903073,0.0001081817,0.00008026489,0.000147538,0.00008381723,0.9414323,0.0006153175,0.00100083,0.002236241,0.02494086],"study_design_scores_gemma":[0.00000887892,0.00002249929,0.001733875,0.000006413802,0.00000637001,0.00001177843,0.00002257389,0.9968803,0.0002370981,0.0007208337,0.000342466,0.000006861981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5445697,0.000870475,0.4273689,0.003758315,0.0001671911,0.000663657,0.0147361,0.003245236,0.004620469],"genre_scores_gemma":[0.8912187,0.0002099456,0.09798763,0.0002581676,0.00005813318,0.0002609341,0.008812241,0.00006707321,0.001127295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06195711,"threshold_uncertainty_score":0.123193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441982529957408,"score_gpt":0.2561729436550064,"score_spread":0.2117531183554323,"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."}}