{"id":"W2883313199","doi":"10.1016/j.tracli.2018.07.006","title":"How to mitigate the risk of inducing transfusion-associated adverse reactions","year":2018,"lang":"en","type":"review","venue":"Transfusion Clinique et Biologique","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Cancer Research; Université de Lyon; Institut National Du Cancer; Agence de la Biomédecine; Agence Nationale de la Recherche","keywords":"Transfusion reaction; Adverse effect; Medicine; Blood transfusion; Intensive care medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003810729,0.0007054919,0.002416081,0.0003576315,0.0003343617,0.00002252432,0.0004029138,0.002500995,0.0002662153],"category_scores_gemma":[0.002609276,0.0003860604,0.001768622,0.001103709,0.0003729557,0.00006563447,0.00006008063,0.002928022,0.00007708048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521938,"about_ca_system_score_gemma":0.001013155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007145781,"about_ca_topic_score_gemma":0.0009380794,"domain_scores_codex":[0.9941693,0.002538816,0.001601259,0.0008644855,0.0003074881,0.0005186342],"domain_scores_gemma":[0.9957352,0.001931118,0.0007972373,0.0008906412,0.0003481733,0.0002976279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005145933,0.0008292881,0.0002202015,0.007292807,0.001823424,0.00005432025,0.001760679,0.00001004088,0.0002339591,0.000142127,0.002433837,0.9846847],"study_design_scores_gemma":[0.0008541882,0.001651388,0.000178161,0.02233205,0.002442918,0.00007066724,0.0003744938,0.000007457894,0.00009839537,0.00008521633,0.9714373,0.0004677],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01034875,0.9623719,0.00234451,0.007841955,0.001244727,0.01045785,0.001149379,0.0005094887,0.003731383],"genre_scores_gemma":[0.0005507694,0.9960264,0.0003712875,0.0004322805,0.0001727471,0.0002512937,0.0003254559,0.0001017181,0.001768058],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.984217,"threshold_uncertainty_score":0.9998592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458475999727723,"score_gpt":0.3428104874586255,"score_spread":0.2969628874858532,"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."}}