{"id":"W3010993550","doi":"10.1016/j.chest.2020.02.044","title":"Derivation and Validation of a Diagnostic Prediction Tool for Interstitial Lung Disease","year":2020,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"National Heart, Lung, and Blood Institute; University of California, Davis","keywords":"Medicine; Interstitial lung disease; Crackles; Cohort; Logistic regression; Prospective cohort study; DLCO; Internal medicine; Pulmonary function testing; Diffusing capacity; Lung; Lung function","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":[],"consensus_categories":[],"category_scores_codex":[0.01583255,0.001267978,0.00111136,0.004794323,0.0009246877,0.003439864,0.00145723,0.00204618,0.00147845],"category_scores_gemma":[0.05801967,0.0004582052,0.001062489,0.001630429,0.0007611702,0.001181996,0.001642656,0.001189828,0.001014112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007287397,"about_ca_system_score_gemma":0.002059737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081241,"about_ca_topic_score_gemma":0.00212587,"domain_scores_codex":[0.9931289,0.002617266,0.0009390311,0.0008165667,0.002091236,0.000407029],"domain_scores_gemma":[0.9565285,0.02834468,0.002306288,0.001933613,0.009999286,0.0008876429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001180095,0.0006596641,0.8590231,0.000154482,0.0003611589,0.0004827843,0.0003580881,0.005178588,0.004968184,0.001220197,0.002485408,0.1239282],"study_design_scores_gemma":[0.0004866536,0.002429911,0.5876939,0.0004583951,0.001676371,0.003834466,0.001003691,0.3644857,0.02304571,0.005649451,0.009084748,0.0001510047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8916203,0.001291973,0.09714621,0.001040729,0.0003775944,0.0008165647,0.002114179,0.0007728248,0.004819602],"genre_scores_gemma":[0.9475909,0.0001712017,0.0500865,0.0001469252,0.00009372156,0.000226294,0.001205311,0.00003643851,0.0004426635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01583255,"threshold_uncertainty_score":0.08373159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678579088378828,"score_gpt":0.2579024202055922,"score_spread":0.2411166293218039,"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."}}