{"id":"W2298186980","doi":"10.1111/vox.12378","title":"Assessing the influence of component processing and donor characteristics on quality of red cell concentrates using quality control data","year":2016,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Blood Services; University of Alberta","funders":"Health Canada; Canadian Blood Services","keywords":"Haemolysis; Buffy coat; Whole blood; Medicine; Blood component; Quality (philosophy); Red Cell; Red blood cell; Hematocrit; Emergency medicine; Internal medicine; Surgery; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001557797,0.000131689,0.0002982665,0.00006423469,0.0001702463,0.0002040634,0.0003098318,0.00004985794,0.00005296305],"category_scores_gemma":[0.00073265,0.00007903199,0.00003166681,0.0001730174,0.0002091186,0.001606463,0.0001087792,0.00008470473,0.000004036288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008179209,"about_ca_system_score_gemma":0.00004437018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005632144,"about_ca_topic_score_gemma":0.00001490093,"domain_scores_codex":[0.9985247,0.0001108681,0.0006378086,0.0002628728,0.0003159912,0.0001477221],"domain_scores_gemma":[0.997449,0.0006654633,0.001156061,0.0004029967,0.0003128264,0.00001361179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003655076,0.0005345832,0.4619674,0.001310555,0.00008105214,0.000002668224,0.0002294256,0.000027547,0.4975007,0.005919579,0.0001103738,0.03195059],"study_design_scores_gemma":[0.002036845,0.00001262075,0.9881335,0.0003783593,0.0001414889,7.349938e-7,0.0005777773,0.002000191,0.002960181,0.0002578961,0.003286408,0.0002139934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99627,0.0001016803,0.0007206966,0.001578304,0.0001035919,0.0001961952,0.0000605345,0.00002565374,0.0009433707],"genre_scores_gemma":[0.998915,0.00002532832,0.0002040142,0.0007085777,0.0001104581,0.000002251438,0.0000140188,0.00001088827,0.000009464667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5261661,"threshold_uncertainty_score":0.3222831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0935437235340185,"score_gpt":0.3534862035359086,"score_spread":0.2599424800018901,"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."}}