{"id":"W2018596187","doi":"10.1111/j.1537-2995.2008.01970.x","title":"Factors affecting the frequency of red blood cell outdates: an approach to establish benchmarking targets","year":2008,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Canadian Blood Services; Ontario Stroke Network","funders":"Canadian Blood Services","keywords":"Benchmarking; Quartile; Logistic regression; Blood product; Medicine; Operations management; Emergency medicine; Business; Internal medicine; Marketing; Surgery; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.03580083,0.0008341713,0.001184772,0.008181581,0.001105899,0.002640441,0.001730418,0.0006630616,0.001151941],"category_scores_gemma":[0.07945391,0.0003609919,0.0009723975,0.008489913,0.0007228347,0.001748065,0.002328201,0.001090433,0.0003438207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00456707,"about_ca_system_score_gemma":0.006933314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009003033,"about_ca_topic_score_gemma":0.008240839,"domain_scores_codex":[0.9747455,0.01309943,0.004244457,0.001541748,0.00562385,0.0007448752],"domain_scores_gemma":[0.9399544,0.02600909,0.01447902,0.003230055,0.01519164,0.001135775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007547372,0.0008105767,0.6880178,0.001238434,0.000412508,0.0003493439,0.009215404,0.01777725,0.004527266,0.007658817,0.005005187,0.2642326],"study_design_scores_gemma":[0.000241016,0.003395484,0.7970654,0.0009072727,0.0004388728,0.0006670579,0.01655183,0.1334996,0.01336891,0.01433109,0.019269,0.0002644793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.457314,0.0009975168,0.5175864,0.001628395,0.00007982623,0.005549585,0.002138194,0.0008312406,0.01387491],"genre_scores_gemma":[0.7461235,0.0002244735,0.2469396,0.0001233822,0.00002236866,0.004461152,0.001474483,0.00007355462,0.0005577017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03580083,"threshold_uncertainty_score":0.1893352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383492361313047,"score_gpt":0.2448251627774266,"score_spread":0.2109902391642961,"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."}}