{"id":"W2588784813","doi":"10.1111/trf.14039","title":"Trends in <scp>US</scp> minority red blood cell unit donations","year":2017,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec","funders":"National Institutes of Health","keywords":"Demography; Donation; Medicine; Blood donor; African american; Pacific islanders; Population; Ethnic group; Blood donations; White (mutation); Gerontology; Environmental health; Biology; Immunology; Political science; History; Ethnology","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":[0.0009033207,0.00008496849,0.00009762869,0.001077304,0.0002349601,0.0005000086,0.0003201066,0.0002110045,0.001660995],"category_scores_gemma":[0.0023963,0.00008789036,0.0001928289,0.001593793,0.0001474845,0.0004711852,0.0002967414,0.000397743,0.0002681521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005734748,"about_ca_system_score_gemma":0.0007120961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02412773,"about_ca_topic_score_gemma":0.032276,"domain_scores_codex":[0.9996025,0.00006913143,0.00006615114,0.00009550495,0.0001048592,0.0000618652],"domain_scores_gemma":[0.997162,0.0003048683,0.001447296,0.00009071844,0.0007629382,0.0002322671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003467453,0.00001760143,0.9918343,0.00002432217,0.00002083944,0.00002208207,0.0002122704,0.00007439624,0.0001789906,0.0001233634,0.001163549,0.006293746],"study_design_scores_gemma":[0.000001639109,0.00003741723,0.9963876,0.00003108332,0.00001383322,0.0001593815,0.0005040069,0.0003049506,0.0002411958,0.0000308304,0.002284639,0.000003498354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944301,0.0006877719,0.000233841,0.0003822375,0.00001554024,0.000008105761,0.002771917,0.00002595338,0.001444578],"genre_scores_gemma":[0.9957989,0.000567052,0.0004344601,0.0001371345,0.00002412823,0.00001748854,0.002508283,0.000006444728,0.0005060928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02412773,"threshold_uncertainty_score":0.04797459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845386357776189,"score_gpt":0.2589459295228434,"score_spread":0.2304920659450815,"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."}}