{"id":"W2964166619","doi":"10.1111/trf.15448","title":"Iron status and risk factors for iron depletion in a racially/ethnically diverse blood donor population","year":2019,"lang":"en","type":"article","venue":"Transfusion","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Ferritin; Logistic regression; Population; Blood donor; Demography; Ethnically diverse; Lower risk; Internal medicine; Immunology; Confidence interval; 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":[0.0006426052,0.0002004505,0.0001981991,0.0004277269,0.0003935015,0.0003138261,0.0001655037,0.0002521125,0.001158425],"category_scores_gemma":[0.001035694,0.0001280248,0.0001253815,0.0003833554,0.0001952976,0.0002153439,0.0002361286,0.0003151534,0.000184565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009988973,"about_ca_system_score_gemma":0.0001532273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00214302,"about_ca_topic_score_gemma":0.001868091,"domain_scores_codex":[0.9997837,0.00008548372,0.0000159254,0.00004146998,0.00003884103,0.0000345568],"domain_scores_gemma":[0.9995804,0.00008075709,0.0001375132,0.00002695686,0.00004488893,0.0001294019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005072756,0.00004609072,0.9985179,0.000003602559,0.00001376227,0.00005520021,0.00007489158,0.00001532396,0.0002215807,0.00001009606,0.00006057304,0.0009302435],"study_design_scores_gemma":[0.000006659529,0.000108111,0.9988233,0.000005223307,0.00001397452,0.0004418077,0.0002774168,0.000117037,0.00006299625,0.00002295799,0.0001185018,0.000002014681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996741,0.0000821505,0.0000369333,0.00002280985,0.000001661994,0.000003843674,0.00004780504,8.075595e-7,0.0001299167],"genre_scores_gemma":[0.9997244,0.00005232032,0.00004889214,0.0000285255,0.00000582148,0.000004986466,0.00007573293,4.895611e-7,0.00005876089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00214302,"threshold_uncertainty_score":0.004261076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140584966372721,"score_gpt":0.2586072050257453,"score_spread":0.2472013553620181,"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."}}