{"id":"W4411238862","doi":"10.1093/rheumatology/keaf329","title":"Global variations in artificial intelligence-generated information on juvenile idiopathic arthritis","year":2025,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Institute for Clinical Evaluative Sciences; Children's Hospital of Eastern Ontario; University of British Columbia; Hospital for Sick Children; University of Ottawa; Research Canada","funders":"","keywords":"Juvenile; Arthritis; Artificial intelligence; Computer science; Medicine; Internal medicine; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008838139,0.0003283729,0.0003641732,0.004287039,0.0002737413,0.00208028,0.0003533451,0.000534341,0.001164254],"category_scores_gemma":[0.05113121,0.0001303267,0.0004500767,0.003450005,0.0008602869,0.001717,0.001584329,0.0004786555,0.000286958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006727201,"about_ca_system_score_gemma":0.0003428225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927119,"about_ca_topic_score_gemma":0.002126154,"domain_scores_codex":[0.9888062,0.006976397,0.0009923473,0.001089985,0.001898013,0.0002369318],"domain_scores_gemma":[0.9323727,0.05134102,0.009265931,0.002932411,0.003688178,0.0003997173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000900698,0.0001624755,0.8106995,0.001350818,0.000805583,0.0008805384,0.02691497,0.01094245,0.009852158,0.001134875,0.001427427,0.1349286],"study_design_scores_gemma":[0.00001877544,0.0004544507,0.9661312,0.0003463927,0.0002627329,0.0009573631,0.01012823,0.009984462,0.003170589,0.002289215,0.00618096,0.00007572857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919382,0.0005787477,0.003350277,0.0002738923,0.00001645745,0.00004125292,0.001030734,0.00007211219,0.002698434],"genre_scores_gemma":[0.9968362,0.0001721504,0.00176323,0.00005913103,0.00001778479,0.00002163238,0.0009428646,0.00002129661,0.0001656562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008838139,"threshold_uncertainty_score":0.04674107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817821865979811,"score_gpt":0.2885732469797418,"score_spread":0.2703950283199437,"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."}}