{"id":"W2435021439","doi":"10.2174/1573398x11666150619182624","title":"Patient Perspectives in OMERACT Provide an Anchor for Future Metric Development and Improved Approaches to Healthcare Delivery in Connective Tissue Disease Related Interstitial Lung Disease (CTD-ILD)","year":2015,"lang":"en","type":"article","venue":"Current Respiratory Medicine Reviews","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba; University of Toronto","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Medicine; Interstitial lung disease; Context (archaeology); Prom; Quality of life (healthcare); Physical therapy; Disease; Connective tissue disease; CTD; Patient-reported outcome; Health care; Family medicine; Pathology; Internal medicine; Lung; Nursing; Autoimmune disease","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02832172,0.0002369263,0.0003301933,0.0005564903,0.001467499,0.004301836,0.0006833278,0.0007650892,0.006471974],"category_scores_gemma":[0.04180493,0.0001522273,0.0005296902,0.0006021992,0.001384944,0.003537928,0.004040694,0.001549613,0.0005979454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002082836,"about_ca_system_score_gemma":0.003367922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220971,"about_ca_topic_score_gemma":0.00281657,"domain_scores_codex":[0.9740751,0.02164928,0.0008511916,0.0004799567,0.002101763,0.0008428159],"domain_scores_gemma":[0.9782087,0.01145214,0.00393473,0.0007980704,0.002757482,0.002848838],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008352713,0.0007599943,0.3125729,0.001925386,0.0002238588,0.001306069,0.09189996,0.0008686102,0.005508272,0.01892465,0.03510445,0.5300705],"study_design_scores_gemma":[0.0003490562,0.00303956,0.3536506,0.003932356,0.0002796458,0.002896601,0.2629218,0.004363894,0.004012369,0.02809769,0.3362256,0.00023088],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.720807,0.009571779,0.02969841,0.1781178,0.0009236253,0.0006145136,0.0009224898,0.000183975,0.05916041],"genre_scores_gemma":[0.9747506,0.001715386,0.01584059,0.005836879,0.0002483877,0.000141147,0.0001730586,0.00004057339,0.001253306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9716783,"threshold_uncertainty_score":0.1497814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2472688069638146,"score_gpt":0.3806493897579487,"score_spread":0.1333805827941341,"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."}}