{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001744765,0.0001360184,0.0002371357,0.0001202656,0.00006461187,0.000009562802,0.00002981082,0.0001387516,0.0001004095],"category_scores_gemma":[0.00006251974,0.000115327,0.00007033438,0.0001004707,0.00002272462,0.0001207057,0.000009846848,0.0001331057,0.000007199164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002663055,"about_ca_system_score_gemma":0.00002346556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004440315,"about_ca_topic_score_gemma":0.002318382,"domain_scores_codex":[0.9990335,0.00005309459,0.000224627,0.0002820976,0.0001716792,0.0002350346],"domain_scores_gemma":[0.9996118,0.00006802418,0.00005437116,0.0001442704,0.00002378635,0.00009774352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009712485,0.0001879079,0.967881,0.0001904204,0.000004580668,0.000001048266,0.001998684,0.00007512188,0.01849147,0.0001151867,0.000005666083,0.01007772],"study_design_scores_gemma":[0.007375219,0.0003938997,0.9901288,0.00003599928,0.0002477876,0.000001040879,0.0007510081,0.0001737251,0.0004635513,0.0001002194,0.0001960332,0.0001326811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975181,0.000217121,0.000548245,0.00006903503,0.0001655403,0.001204546,0.0000294257,0.00003988868,0.0002080466],"genre_scores_gemma":[0.9966161,0.00245755,0.0005109802,0.00004028741,0.00003741539,0.00001303951,0.0001889298,0.00001992466,0.0001157894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02224789,"threshold_uncertainty_score":0.6712458,"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."}}