{"id":"W2460452774","doi":"10.1513/annalsats.201512-836oc","title":"The Unmet Educational Needs of Patients with Interstitial Lung Disease. Setting the Stage for Tailored Pulmonary Rehabilitation","year":2016,"lang":"en","type":"article","venue":"Annals of the American Thoracic Society","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Centre Hospitalier de l’Université de Montréal","funders":"National Center for Advancing Translational Sciences; University of California, San Francisco; National Institutes of Health","keywords":"Pulmonary rehabilitation; Medicine; Thematic analysis; Context (archaeology); Rehabilitation; Focus group; Interstitial lung disease; Qualitative research; Patient education; Health care; Operationalization; Physical therapy; Nursing; Lung; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004576266,0.0001438508,0.0002309163,0.00002419001,0.0002906207,0.00001238524,0.000294741,0.00002324688,0.00001621363],"category_scores_gemma":[0.0005189169,0.00005795382,0.0005391875,0.0003049366,0.001344484,0.0001060505,0.00008910015,0.0000875745,7.192566e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005272462,"about_ca_system_score_gemma":0.0002543215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004035465,"about_ca_topic_score_gemma":0.000001145416,"domain_scores_codex":[0.9987303,0.0001524201,0.0003291394,0.000159235,0.0003896916,0.0002392345],"domain_scores_gemma":[0.9970742,0.001241949,0.0005729307,0.0004843503,0.0005366557,0.00008988293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06479081,0.001766824,0.7463555,0.001601099,0.001621817,7.760345e-7,0.005748939,0.00006622004,0.004321567,0.004680449,0.06650872,0.1025373],"study_design_scores_gemma":[0.0007137963,0.002971656,0.975002,0.001315096,0.0005635818,0.000001527994,0.01094898,0.001188993,0.0007718414,0.001600667,0.004653443,0.0002684549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430584,0.0003420218,0.0008482453,0.05395424,0.000166686,0.0009405903,0.0005963758,0.00001331978,0.00008009034],"genre_scores_gemma":[0.9978119,0.00007852866,0.0003219007,0.0009952064,0.0001736653,0.0001006975,0.00003860851,0.00002293558,0.000456533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2286464,"threshold_uncertainty_score":0.4953808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191074752355349,"score_gpt":0.3379172885640226,"score_spread":0.3188098133284877,"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."}}