{"id":"W4224209744","doi":"10.1111/trf.16869","title":"The Recipient Epidemiology and Donor Evaluation <scp>Study‐IV‐Pediatric</scp> (<scp>REDS‐IV‐P</scp>): A research program striving to improve blood donor safety and optimize transfusion outcomes across the lifespan","year":2022,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute","keywords":"Medicine; Epidemiology; Observational study; Blood component; Donation; Blood product; Blood transfusion; Intensive care medicine; Emergency medicine; Surgery; Internal medicine","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.02410573,0.0005322775,0.0006699533,0.0004685321,0.006983613,0.0008428468,0.0008095662,0.000201858,0.00008395661],"category_scores_gemma":[0.004749889,0.0003538316,0.000218737,0.001930096,0.0002572906,0.001043598,0.0006797357,0.001447071,0.00002916525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008723948,"about_ca_system_score_gemma":0.0001194924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002738626,"about_ca_topic_score_gemma":0.003355785,"domain_scores_codex":[0.9926366,0.001725999,0.001265333,0.001358348,0.001750923,0.001262774],"domain_scores_gemma":[0.9896068,0.008492887,0.0003835752,0.0007577712,0.0006137501,0.0001452342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001049714,0.00451754,0.4916769,0.0003806024,0.000604819,0.00003406293,0.0215773,0.002811649,0.001331538,0.002985569,0.003415146,0.4696152],"study_design_scores_gemma":[0.01511315,0.001736034,0.6405374,0.00005896215,0.00185,0.00004141946,0.05637956,0.0248091,0.0001072584,0.001456592,0.2574717,0.0004388621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754214,0.001280959,0.0004234808,0.01190856,0.001174843,0.008127587,0.00004087039,0.0002475819,0.001374716],"genre_scores_gemma":[0.9894862,0.004679802,0.0003260187,0.001432998,0.0006883526,0.002395716,0.00005539521,0.00009363639,0.0008418632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4691763,"threshold_uncertainty_score":0.9998913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05649343048043669,"score_gpt":0.3532902886257819,"score_spread":0.2967968581453452,"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."}}