{"id":"W4414483645","doi":"10.3389/frai.2025.1618378","title":"Evaluation of large language model-generated medical information on idiopathic pulmonary fibrosis","year":2025,"lang":"en","type":"article","venue":"Frontiers in Artificial Intelligence","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Idiopathic pulmonary fibrosis; Medical information; Field (mathematics); Health care; MEDLINE; Information system","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":[0.01840635,0.0008108972,0.0006661767,0.001363233,0.0002949636,0.001790676,0.001037554,0.0007893242,0.003187557],"category_scores_gemma":[0.1046109,0.0002060314,0.001074255,0.0008901483,0.0004478116,0.001281024,0.001389929,0.0008421342,0.0006259466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173081,"about_ca_system_score_gemma":0.001620291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004196822,"about_ca_topic_score_gemma":0.004719934,"domain_scores_codex":[0.9848427,0.01233523,0.0007335282,0.0007865778,0.001157415,0.0001445367],"domain_scores_gemma":[0.8255379,0.1576502,0.005131216,0.003711124,0.006616365,0.001353163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03616097,0.009641081,0.1480523,0.006567935,0.002290796,0.001081349,0.01460965,0.1418315,0.01814955,0.002693695,0.02109752,0.5978237],"study_design_scores_gemma":[0.004388703,0.02107004,0.1862824,0.001377871,0.00254578,0.000766979,0.004921354,0.7202413,0.02723036,0.007013511,0.02365009,0.0005116774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611784,0.0004651739,0.02294985,0.0008259921,0.0001058499,0.001912017,0.005659557,0.002435889,0.00446715],"genre_scores_gemma":[0.9473723,0.0001833772,0.04096635,0.0002658076,0.00005811951,0.001280925,0.008949907,0.00014251,0.0007807558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01840635,"threshold_uncertainty_score":0.09734321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248705125604726,"score_gpt":0.3242837383973335,"score_spread":0.3017966871412863,"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."}}