{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000522347,0.0005530777,0.0006648328,0.0007688738,0.0004522242,0.0003965336,0.0005480192,0.0005617688,0.00814818],"category_scores_gemma":[0.0001173226,0.0004588646,0.0002703576,0.00114382,0.0001438945,0.0006910034,0.00009006797,0.001284991,0.004237073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001894933,"about_ca_system_score_gemma":0.00003575069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913537,"about_ca_topic_score_gemma":0.0003913862,"domain_scores_codex":[0.99684,0.000047432,0.0005809444,0.0008258552,0.001145971,0.0005597707],"domain_scores_gemma":[0.9988416,0.0001913883,0.0002149597,0.0004593165,0.0002556125,0.00003710452],"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":[0.000101808,0.000114248,0.0004385176,0.0006112866,0.0001488609,0.0003659852,0.0003959738,0.000002269123,0.0002518021,0.0004853406,0.9941319,0.002952075],"study_design_scores_gemma":[0.003042292,0.00004257811,0.0003835968,0.0004128726,0.0006306922,0.0000135461,0.0001228168,0.00007790673,0.00001354118,0.000256356,0.9944856,0.000518251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005364897,0.0001238992,0.0001721332,0.9632065,0.002442208,0.000901456,0.00004043968,0.0007962547,0.02695216],"genre_scores_gemma":[0.00205307,0.0004129158,0.0001370362,0.9694418,0.0110171,0.0001034736,0.001166149,0.0002228853,0.01544559],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01150657,"threshold_uncertainty_score":0.9997863,"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."}}