{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005412991,0.000188647,0.0002150205,0.0003439896,0.0001459937,0.0001505777,0.0001682994,0.000137628,0.001512921],"category_scores_gemma":[0.00007049144,0.0001767158,0.0001005269,0.0005054038,0.00001774573,0.001204716,0.00001812262,0.0002338844,0.0005181837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000019008,"about_ca_system_score_gemma":0.00001587318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005266185,"about_ca_topic_score_gemma":0.004885526,"domain_scores_codex":[0.9987109,0.00002770536,0.0003507242,0.0003929009,0.0002521195,0.0002655925],"domain_scores_gemma":[0.9994322,0.00009913582,0.0001536205,0.0002122924,0.00008277942,0.00001994215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001340763,0.001243782,0.8316988,0.0006976118,0.00006948724,0.00002610562,0.0002994489,0.0008351469,0.1268267,0.02216767,0.000492171,0.01430236],"study_design_scores_gemma":[0.0217075,0.0001684168,0.9055574,0.0001869516,0.000615482,0.000004583771,0.0005968723,0.005246545,0.005454068,0.007092325,0.05238848,0.0009813952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903625,0.00003250891,0.001209102,0.0007927105,0.0004970321,0.00107914,0.000007857865,0.0001719831,0.005847197],"genre_scores_gemma":[0.9977119,0.0003691757,0.0003577449,0.0006674993,0.0002354177,0.00006504213,0.000129016,0.00003764379,0.0004265455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1213726,"threshold_uncertainty_score":0.9993998,"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."}}