{"id":"W2909458703","doi":"10.1111/trf.15133","title":"Elevated risk for iron depletion in high‐school age blood donors","year":2019,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; National Heart, Lung, and Blood Institute; Novo Nordisk","keywords":"Ferritin; Medicine; Odds ratio; Logistic regression; Blood donations; Hemoglobin; Iron status; Serum ferritin; Confidence interval; Blood donor; Demography; Iron deficiency; Pediatrics; Anemia; Internal medicine; Immunology","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":[0.0005834667,0.0001501493,0.0001616793,0.0005477358,0.0004276569,0.0004370219,0.0002098379,0.0003011439,0.002875495],"category_scores_gemma":[0.001982629,0.0001511474,0.0001796093,0.0004461346,0.0002662425,0.0002795988,0.0003917576,0.0005328567,0.0002658376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718799,"about_ca_system_score_gemma":0.0003162662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002786296,"about_ca_topic_score_gemma":0.00245962,"domain_scores_codex":[0.9997205,0.00007783602,0.00002536401,0.00004701808,0.00004763887,0.00008154936],"domain_scores_gemma":[0.9984367,0.0002180986,0.0007590968,0.00004265203,0.0001289513,0.0004144554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002291864,0.00002163715,0.9992188,0.000002673423,0.00000392889,0.00004153451,0.00003240988,0.000006036475,0.00003948835,0.000008878132,0.00005294425,0.0005487119],"study_design_scores_gemma":[0.000003960294,0.00009161864,0.998694,0.00001243104,0.000009644505,0.0005618446,0.00023815,0.00009870756,0.00007357034,0.0000403667,0.0001734779,0.00000238711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994004,0.0001366611,0.00003349171,0.00004507305,0.000005036418,0.000003832097,0.000070817,0.000002087194,0.0003026268],"genre_scores_gemma":[0.9997211,0.00006298693,0.00003215929,0.00001899062,0.000006000671,0.000002252428,0.00005541027,5.316606e-7,0.0001006233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002875495,"threshold_uncertainty_score":0.009619534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035346139256513,"score_gpt":0.220909091401354,"score_spread":0.2105556300087888,"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."}}