{"id":"W4406486734","doi":"10.1016/j.ahj.2025.01.009","title":"Individualized transfusion decisions to minimize adverse cardiovascular outcomes in patients with acute myocardial infarction and anemia","year":2025,"lang":"en","type":"article","venue":"American Heart Journal","topic":"Blood transfusion and management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; Canadian VIGOUR Centre; McGill University; University Health Network","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; Duke University; National Institute on Aging; National Institutes of Health; Agence Nationale de la Recherche","keywords":"Medicine; Myocardial infarction; Anemia; Adverse effect; Intensive care medicine; Cardiology; Blood transfusion; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009394396,0.0005111193,0.0015436,0.0003467025,0.0001912602,0.0009291096,0.0005239847,0.0005649258,0.0008134239],"category_scores_gemma":[0.0191973,0.0003455818,0.001631418,0.0003837289,0.0004765334,0.000710236,0.0006626365,0.001567172,0.00006555035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008011597,"about_ca_system_score_gemma":0.001354193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009792518,"about_ca_topic_score_gemma":0.00141042,"domain_scores_codex":[0.9936248,0.005126153,0.0002130715,0.0004442368,0.0003476082,0.0002440023],"domain_scores_gemma":[0.9917748,0.006068801,0.001291694,0.0004746922,0.0001087867,0.0002812995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1027672,0.004469197,0.3808823,0.0009152165,0.01044992,0.0003282031,0.0005422152,0.2088725,0.003022121,0.005081213,0.002795374,0.2798744],"study_design_scores_gemma":[0.0118132,0.05076396,0.382884,0.0003268454,0.007206664,0.0006220243,0.0004562403,0.5130263,0.003995776,0.02616326,0.002605613,0.0001361007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880012,0.001625975,0.008269651,0.0007717728,0.00005173367,0.0001805202,0.0001460477,0.00004110925,0.0009120743],"genre_scores_gemma":[0.9970401,0.0001313966,0.002357673,0.0002092786,0.00002841471,0.00005576525,0.00007054527,0.000003291024,0.0001035414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009394396,"threshold_uncertainty_score":0.04968292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008401971813328217,"score_gpt":0.26871126193049,"score_spread":0.2603092901171618,"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."}}