{"id":"W2605344282","doi":"10.3899/jrheum.170055","title":"Scleroderma Lung Involvement, Autoantibodies, and Outcome Prediction: The Confounding Effect of Time","year":2017,"lang":"en","type":"letter","venue":"The Journal of Rheumatology","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Scleroderma (fungus); Autoantibody; Interstitial lung disease; Pulmonary fibrosis; Internal medicine; Pulmonary hypertension; Connective tissue disease; Cohort; Confounding; Systemic scleroderma; Hazard ratio; Disease; Autoimmune disease; Immunology; Lung; Antibody","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":[0.009729872,0.001135607,0.001011358,0.001032713,0.0006245334,0.001491791,0.001588318,0.001551367,0.003368228],"category_scores_gemma":[0.01770682,0.0002850466,0.001970515,0.002229074,0.0006726425,0.001075948,0.001263913,0.001989752,0.0004897002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581446,"about_ca_system_score_gemma":0.0009455979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0038478,"about_ca_topic_score_gemma":0.002951647,"domain_scores_codex":[0.9953902,0.002079003,0.0003800311,0.001318104,0.0004576458,0.0003750094],"domain_scores_gemma":[0.9834442,0.01043158,0.002518903,0.002069137,0.0005363409,0.000999834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00210684,0.00009166938,0.9826873,0.0003631928,0.003081056,0.000183377,0.0001107189,0.0004931888,0.0002429832,0.0003123497,0.0007221359,0.009605275],"study_design_scores_gemma":[0.0001396008,0.001288348,0.9758671,0.000360947,0.005483151,0.001083731,0.0002304465,0.008038398,0.0004143503,0.003692043,0.003350775,0.00005124407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.936817,0.04645072,0.007104763,0.002011517,0.0007373731,0.00007009009,0.00436363,0.0001132081,0.002331761],"genre_scores_gemma":[0.9929366,0.002667323,0.001174267,0.0002874025,0.0004739228,0.00006645895,0.001503475,0.00004701522,0.0008435469],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.009729872,"threshold_uncertainty_score":0.05145711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226120820024481,"score_gpt":0.2906015858214253,"score_spread":0.2679895038189772,"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."}}