{"id":"W2989674513","doi":"10.1183/13993003.congress-2019.pa4693","title":"Impact of a Bayesian approach on the diagnosis of Interstitial Lung Diseases","year":2019,"lang":"en","type":"article","venue":"","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pulmonologists; Lung biopsy; Interstitial lung disease; Biopsy; Radiology; Idiopathic pulmonary fibrosis; Lung; Radiological weapon; Internal medicine; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01929456,0.0004799478,0.0006446473,0.001484905,0.0005436609,0.001487544,0.000854719,0.001084656,0.001582948],"category_scores_gemma":[0.1114061,0.0004249849,0.001014928,0.0006103337,0.0006940736,0.001522697,0.001502081,0.001301415,0.0002689196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090454,"about_ca_system_score_gemma":0.001490718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006230745,"about_ca_topic_score_gemma":0.006477707,"domain_scores_codex":[0.9796461,0.01584156,0.001074261,0.001099354,0.001977033,0.0003616909],"domain_scores_gemma":[0.9181251,0.07054079,0.004971781,0.001537062,0.003738469,0.001086738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003480826,0.0005549656,0.7097433,0.0005185238,0.001072887,0.0006106119,0.0007658342,0.0611151,0.001814133,0.00363739,0.003364889,0.2133216],"study_design_scores_gemma":[0.0004352423,0.002686919,0.4305499,0.001129671,0.001039163,0.003065274,0.001060293,0.5271001,0.002831915,0.02397043,0.00588665,0.0002445647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8568687,0.00508496,0.1233146,0.006634129,0.0001927009,0.0002512827,0.0008747385,0.0002300152,0.006548731],"genre_scores_gemma":[0.961931,0.0005217268,0.03642517,0.0004400514,0.0001147645,0.00004526911,0.0003033614,0.00001450568,0.0002039823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01929456,"threshold_uncertainty_score":0.1020406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071808116969805,"score_gpt":0.2755775072497003,"score_spread":0.2648594260800022,"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."}}