{"id":"W4323920676","doi":"10.1111/trf.17283","title":"Personalized medicine comes to a blood center near you","year":2023,"lang":"en","type":"letter","venue":"Transfusion","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Donation; Clearance; Audit; Transfusion medicine; Population; Medicine; Personalized medicine; Blood donor; Health care; Blood collection; Blood transfusion; Intensive care medicine; Medical emergency; Business; Surgery; Environmental health; Bioinformatics; Biology; Immunology; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004094368,0.0008901572,0.001386202,0.001288154,0.003061373,0.009319425,0.001578345,0.007767998,0.07477621],"category_scores_gemma":[0.02135243,0.0006881718,0.001296137,0.002029424,0.001585741,0.008462691,0.004678071,0.01088392,0.04578517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680281,"about_ca_system_score_gemma":0.002720408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00154491,"about_ca_topic_score_gemma":0.002759775,"domain_scores_codex":[0.9960498,0.001552254,0.000255524,0.0005652399,0.001242815,0.0003343736],"domain_scores_gemma":[0.990441,0.002227945,0.0008679883,0.001626677,0.002107025,0.002729473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001145337,0.00007266046,0.002350444,0.0002256206,0.0001105974,0.000370979,0.0002847511,0.0002235037,0.0004328011,0.006845489,0.7896883,0.1992803],"study_design_scores_gemma":[0.00004787056,0.00009567317,0.001336423,0.0004643513,0.00008977229,0.0006747945,0.0004430363,0.0002617195,0.0004512612,0.02775768,0.9683226,0.00005480573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.002721876,0.03148936,0.02112353,0.8368353,0.04334879,0.0001579387,0.001920128,0.003039668,0.05936347],"genre_scores_gemma":[0.08133655,0.07340316,0.04855543,0.6120129,0.08129226,0.0003006139,0.003219467,0.001757521,0.09812213],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.07477621,"threshold_uncertainty_score":0.2501513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183350930113128,"score_gpt":0.262306618990344,"score_spread":0.2304731096892128,"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."}}