{"id":"W4413434333","doi":"10.1038/s41575-025-01108-1","title":"Large language models for clinical decision support in gastroenterology and hepatology","year":2025,"lang":"en","type":"review","venue":"Nature Reviews Gastroenterology & Hepatology","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Hepatology; Internal medicine; Gastroenterology; MEDLINE; Intensive care 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":[0.003191054,0.001243537,0.002825437,0.001550357,0.0002048182,0.001987076,0.001843292,0.001688033,0.004590363],"category_scores_gemma":[0.007584556,0.0005239582,0.00151989,0.002202635,0.0007426997,0.002744159,0.001145641,0.003258503,0.002257712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079993,"about_ca_system_score_gemma":0.002037632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003045247,"about_ca_topic_score_gemma":0.003971878,"domain_scores_codex":[0.9992315,0.0003383978,0.00007082651,0.0001013027,0.0002203112,0.00003765677],"domain_scores_gemma":[0.9942941,0.004881466,0.0001978865,0.000107161,0.00044224,0.00007702926],"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":[0.00009338492,0.00008600233,0.0002718238,0.00675679,0.0003691297,0.00005566991,0.00002981387,0.005192613,0.0003706292,0.004900623,0.03663941,0.9452341],"study_design_scores_gemma":[0.0003735797,0.0005536004,0.003433947,0.02284864,0.001770939,0.001193079,0.0001651012,0.06212613,0.002449397,0.112108,0.7926674,0.0003100569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002772931,0.9902424,0.006701775,0.001649493,0.0003071449,0.00001833681,0.000142857,0.00009030698,0.0005704654],"genre_scores_gemma":[0.006701605,0.9813623,0.008594553,0.001145203,0.0009563811,0.00005107113,0.0004850917,0.00003263232,0.000671012],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004590363,"threshold_uncertainty_score":0.0168761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04297474469545391,"score_gpt":0.4341969994327131,"score_spread":0.3912222547372592,"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."}}