{"id":"W2126601006","doi":"10.1111/trf.13055","title":"A benchmarking program to reduce red blood cell outdating: implementation, evaluation, and a conceptual framework","year":2015,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; McMaster University; Ontario Stroke Network; Hamilton Health Sciences; Hamilton Regional Laboratory Medicine Program","funders":"Ontario Regional Blood Coordinating Network; Ontario Ministry of Health and Long-Term Care; Canadian Blood Services","keywords":"Benchmarking; Process management; Operations management; Quality management; Audit; Quality assurance; Business; Accounting; Marketing; Engineering; Management system","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":[0.122278,0.001719114,0.00093268,0.00659583,0.00537885,0.008929101,0.005177634,0.002404122,0.001193823],"category_scores_gemma":[0.06905684,0.0006253443,0.001309989,0.009357565,0.008070003,0.007022049,0.007408426,0.002747129,0.00013629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07536308,"about_ca_system_score_gemma":0.2092344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1375971,"about_ca_topic_score_gemma":0.1191516,"domain_scores_codex":[0.8891378,0.07656207,0.00612446,0.002812622,0.02050336,0.004859724],"domain_scores_gemma":[0.9405493,0.01975636,0.0101969,0.001941635,0.02163364,0.005922067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001972597,0.002548075,0.04635054,0.00889969,0.0002805185,0.0002292838,0.01892856,0.01796024,0.000939219,0.3318943,0.0302304,0.541542],"study_design_scores_gemma":[0.001498656,0.01161894,0.2219251,0.05504816,0.001593341,0.000598998,0.08281767,0.1184993,0.009164429,0.2206926,0.2756782,0.000864607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1637836,0.03335896,0.3481795,0.3068453,0.001275157,0.03811685,0.001505809,0.001330955,0.105604],"genre_scores_gemma":[0.6043054,0.009080898,0.363709,0.005349028,0.0001712635,0.01422837,0.0008825151,0.0000809568,0.002192622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1375971,"threshold_uncertainty_score":0.6466757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05372114960300611,"score_gpt":0.3708926174310403,"score_spread":0.3171714678280342,"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."}}