{"id":"W4403420321","doi":"10.1111/tme.13104","title":"Pitfalls of reasoning in hospital‐based transfusion medicine","year":2024,"lang":"en","type":"review","venue":"Transfusion Medicine","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Canadian Blood Services; University of Toronto","funders":"Canadian Blood Services","keywords":"Transfusion medicine; Cognitive bias; Cognition; Satisficing; Psychology; Framing effect; Psychological intervention; Health care; Confirmation bias; Fallacy; Causal inference; Medicine; Social psychology; Blood transfusion; Computer science; Psychiatry; Persuasion; Artificial intelligence; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002564562,0.00112381,0.007179792,0.001567541,0.00005996401,0.000007788025,0.0004162995,0.001091305,0.002073149],"category_scores_gemma":[0.01603919,0.0006783271,0.001044461,0.002457817,0.0008374366,0.0000615304,0.00004174696,0.002112337,0.00009985916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366618,"about_ca_system_score_gemma":0.0008645023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001943675,"about_ca_topic_score_gemma":0.0001682618,"domain_scores_codex":[0.992313,0.0003642182,0.003644945,0.001361375,0.00161167,0.0007047533],"domain_scores_gemma":[0.9878743,0.009615001,0.0005107545,0.001102757,0.0002284809,0.0006686565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002686506,0.001076371,0.000177581,0.04907752,0.0002960654,0.001246569,0.001228131,0.000002300316,0.00004477628,0.0004684578,0.01074014,0.9353734],"study_design_scores_gemma":[0.005659622,0.004153832,0.0001557754,0.6501492,0.008988058,0.0001215745,0.0001586537,0.00009442093,0.000007498903,0.000122388,0.3298538,0.0005351865],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005324852,0.9837801,0.0004475465,0.006420266,0.001808885,0.002699738,0.00004504515,0.0002118519,0.004054047],"genre_scores_gemma":[0.0004558453,0.9958491,0.0003779994,0.0004476222,0.001180235,0.0001550935,0.0006175635,0.0002135231,0.000703038],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9348382,"threshold_uncertainty_score":0.9995668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0501356519299426,"score_gpt":0.400574664290361,"score_spread":0.3504390123604184,"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."}}