{"id":"W4292839950","doi":"10.1002/art.42329","title":"Development and External Validation of a Model Predicting <scp>New‐Onset</scp> Chronic Uveitis at Different Disease Durations in Juvenile Idiopathic Arthritis","year":2022,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Ocular Diseases and Behçet’s Syndrome","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre for Epidemiology Versus Arthritis, University of Manchester; Manchester Biomedical Research Centre; Foundation for Research in Rheumatology; Versus Arthritis; Bundesministerium für Bildung und Forschung; European Commission; Hospital for Sick Children; University of Manchester; University College London; National Institute for Health and Care Research; Alder Hey Children's NHS Foundation Trust","keywords":"Medicine; Oligoarthritis; Psoriatic arthritis; Internal medicine; Hazard ratio; Cohort; Arthritis; Proportional hazards model; Uveitis; Confidence interval; Physical therapy; Polyarthritis; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0282955,0.00120106,0.001059956,0.001269435,0.0005003225,0.00156681,0.001461717,0.0007553685,0.001426369],"category_scores_gemma":[0.0328965,0.0005002972,0.001508318,0.0006524514,0.0004306102,0.0006253929,0.001695937,0.001348714,0.0004621749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065152,"about_ca_system_score_gemma":0.002934002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007257794,"about_ca_topic_score_gemma":0.004348177,"domain_scores_codex":[0.9942681,0.004130366,0.0002693995,0.000684925,0.0004575739,0.0001895518],"domain_scores_gemma":[0.9735242,0.02013386,0.001667088,0.001360349,0.00292537,0.0003891627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002284134,0.0008176262,0.683384,0.0002055966,0.001443583,0.0002977512,0.0004207607,0.2247264,0.001312991,0.0009965933,0.004501063,0.0796096],"study_design_scores_gemma":[0.0003015081,0.0007668254,0.06024525,0.0001091129,0.0003718515,0.0002053201,0.0001092385,0.9345162,0.001058702,0.0008669115,0.001411836,0.00003728215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8763922,0.0004382963,0.1169674,0.0006807169,0.00009513417,0.0005912632,0.002415324,0.0008385807,0.001580969],"genre_scores_gemma":[0.9573915,0.0001202009,0.03876675,0.00008257866,0.00002642163,0.0004181034,0.002624363,0.00008172275,0.0004884146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0282955,"threshold_uncertainty_score":0.1496427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316927136569896,"score_gpt":0.2367388462129188,"score_spread":0.2235695748472198,"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."}}