{"id":"W2896090530","doi":"10.3899/jrheum.180153","title":"Minimal Clinically Important Improvement of Routine Assessment of Patient Index Data 3 in Rheumatoid Arthritis","year":2018,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health","keywords":"Medicine; Comorbidity; Odds ratio; Confidence interval; Percentile; Rheumatoid arthritis; Charlson comorbidity index; Severity of illness; Internal medicine; Population; Medical diagnosis; Emergency medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003754281,0.0003722173,0.0007716038,0.0006927301,0.0002898061,0.0005896251,0.0003994137,0.0004370181,0.0008171273],"category_scores_gemma":[0.01635426,0.0001108588,0.0005613824,0.0006029265,0.0002470156,0.0004927503,0.0006735528,0.0006379131,0.0001574855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006967448,"about_ca_system_score_gemma":0.0005951982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002721809,"about_ca_topic_score_gemma":0.00391255,"domain_scores_codex":[0.9959186,0.00244891,0.0004939889,0.0003035687,0.0006442154,0.0001907831],"domain_scores_gemma":[0.9922335,0.002514754,0.00342338,0.0002558053,0.0007958423,0.0007767978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004929771,0.0002690394,0.9638143,0.0001241606,0.0002217277,0.00008821963,0.00009734312,0.0004991652,0.0004842084,0.00003701104,0.00078158,0.02865335],"study_design_scores_gemma":[0.0001708132,0.003004947,0.9917765,0.00004329689,0.0001465563,0.0003126024,0.0001065118,0.003487578,0.0003732477,0.0001097135,0.0004528088,0.0000154747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945116,0.001698675,0.0006022501,0.000269747,0.00004682273,0.00007854713,0.0007243112,0.00003987429,0.002028248],"genre_scores_gemma":[0.998772,0.0001288729,0.0005923707,0.00004362179,0.00002097096,0.00002731073,0.0003462416,0.000001822266,0.00006691299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003754281,"threshold_uncertainty_score":0.01985478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939075749208967,"score_gpt":0.3557337993950361,"score_spread":0.3263430419029464,"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."}}