{"id":"W2155142242","doi":"10.1111/voxs.12007","title":"Donor selection for recipient safety","year":2013,"lang":"en","type":"article","venue":"ISBT Science Series","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services","funders":"","keywords":"Deferral; Medicine; Selection (genetic algorithm); Intensive care medicine; Population; Human immunodeficiency virus (HIV); Blood donor; Risk analysis (engineering); Immunology; Computer science; Business; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.05792959,0.0004092445,0.0008127975,0.002399866,0.002537598,0.004068528,0.00143427,0.001923229,0.02920291],"category_scores_gemma":[0.08456717,0.0002910813,0.000904892,0.001114989,0.001398647,0.002259993,0.003952723,0.002826201,0.009040284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703914,"about_ca_system_score_gemma":0.008977259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029434,"about_ca_topic_score_gemma":0.001034007,"domain_scores_codex":[0.9684187,0.01745084,0.002978008,0.001278397,0.007922363,0.001951758],"domain_scores_gemma":[0.9463555,0.01337861,0.004419041,0.01008105,0.01981947,0.005946255],"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":[0.001003411,0.0005594726,0.07571123,0.0006811655,0.00006982275,0.001439451,0.004696088,0.0004204499,0.003001077,0.05743397,0.1325329,0.722451],"study_design_scores_gemma":[0.0003005633,0.001649135,0.07734568,0.003322354,0.0001676399,0.01314816,0.003731039,0.002425558,0.01253974,0.03372156,0.8515002,0.0001482558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2154035,0.02413802,0.1789228,0.1026899,0.01176646,0.01156167,0.00164701,0.001558802,0.4523118],"genre_scores_gemma":[0.7840529,0.008880551,0.07268751,0.02105042,0.005543708,0.004834177,0.001814133,0.0006506144,0.100486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05792959,"threshold_uncertainty_score":0.3063646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570006500318737,"score_gpt":0.2416225470510141,"score_spread":0.2259224820478268,"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."}}