{"id":"W4413476772","doi":"10.1016/j.tmrv.2025.150926","title":"Artificial Intelligence and Machine Learning in Transfusion Practice: An Analytical Assessment","year":2025,"lang":"en","type":"article","venue":"Transfusion Medicine Reviews","topic":"Blood transfusion and management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Alberta Health; University of Calgary; Canadian Blood Services; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Artificial intelligence; Medicine; Intensive care medicine; Machine learning","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":[0.05848577,0.001658883,0.003334608,0.03075743,0.001535122,0.01078164,0.002279315,0.00332667,0.002907143],"category_scores_gemma":[0.1026715,0.001143302,0.003674109,0.01679337,0.00482178,0.01144741,0.006012483,0.004195581,0.0004233567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009777549,"about_ca_system_score_gemma":0.01377531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488954,"about_ca_topic_score_gemma":0.00702305,"domain_scores_codex":[0.967878,0.01890107,0.005643159,0.001067905,0.005977324,0.0005325415],"domain_scores_gemma":[0.7679167,0.2097818,0.00790523,0.001975221,0.01168934,0.0007316461],"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":[0.0002739468,0.00009174563,0.007516099,0.2521615,0.002934672,0.0004993114,0.006885974,0.002369992,0.0005459275,0.09283701,0.01132615,0.6225578],"study_design_scores_gemma":[0.00007497963,0.0005909394,0.009162285,0.6543896,0.005459506,0.001266036,0.009676827,0.003998786,0.0006517975,0.1050866,0.2094415,0.0002011771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001264432,0.9791509,0.00348644,0.01332865,0.0003778162,0.0002311814,0.00007733895,0.000009896977,0.002073394],"genre_scores_gemma":[0.02763992,0.9526133,0.01278418,0.005061534,0.0008396785,0.0006892029,0.00009024322,0.00001325071,0.0002687426],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05848577,"threshold_uncertainty_score":0.309306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09254837046801645,"score_gpt":0.4197814860200182,"score_spread":0.3272331155520018,"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."}}