{"id":"W4412377696","doi":"10.1111/vox.70070","title":"Can medical students use artificial intelligence to learn transfusion? Evaluating <scp>ChatGPT</scp> responses to the American Society of Hematology medical student transfusion learning objectives","year":2025,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; Children's Hospital of Eastern Ontario","funders":"","keywords":"Transfusion medicine; Medicine; Test (biology); Scale (ratio); Medical education; Blood transfusion; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008375846,0.0006581935,0.000625792,0.001308745,0.0004492114,0.001860616,0.0008100329,0.001123908,0.006744364],"category_scores_gemma":[0.06502047,0.0002201277,0.0006531837,0.0006753262,0.0004405254,0.001197158,0.001948168,0.001365014,0.003116552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006652216,"about_ca_system_score_gemma":0.0008938011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008077175,"about_ca_topic_score_gemma":0.001288671,"domain_scores_codex":[0.9942042,0.002799439,0.0005203055,0.0005378205,0.001591276,0.0003469787],"domain_scores_gemma":[0.9444153,0.03286603,0.006992629,0.001668816,0.007749707,0.006307562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003288402,0.0117535,0.5125208,0.001588577,0.0003261755,0.0006698522,0.01767628,0.003903084,0.005324854,0.000368844,0.03009504,0.4124846],"study_design_scores_gemma":[0.0004717603,0.01406323,0.8909135,0.0007764988,0.000421552,0.001067907,0.01487141,0.02423849,0.01731304,0.001690403,0.03391319,0.0002590257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912396,0.0001706897,0.00190893,0.0008001529,0.00009899546,0.0003679798,0.0004970682,0.000369819,0.004546752],"genre_scores_gemma":[0.9875799,0.0003846805,0.005493515,0.0005594169,0.00008841377,0.000596883,0.001376091,0.00006960217,0.003851653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008375846,"threshold_uncertainty_score":0.04429621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196888070264475,"score_gpt":0.4957930954342586,"score_spread":0.3761042884078112,"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."}}