{"id":"W4379649887","doi":"10.1136/annrheumdis-2023-eular.2153","title":"POS1242 COMPUTED TOMOGRAPHY FINDINGS IN CONNECTIVE TISSUE DISEASE RELATED INTERSTITIAL LUNG DISEASE","year":2023,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Université de Montréal; University of Alberta; University of Saskatchewan; McGill University; University of Calgary; McMaster University; University of British Columbia","funders":"Bundesministerium für Bildung und Forschung","keywords":"Medicine; Interstitial lung disease; Usual interstitial pneumonia; Hypersensitivity pneumonitis; Connective tissue disease; Pathology; Mixed connective tissue disease; Dermatomyositis; Undifferentiated connective tissue disease; Honeycombing; Crackles; Idiopathic pulmonary fibrosis; Rheumatology; CTD; Rheumatoid arthritis; Internal medicine; Lung; Disease; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003738281,0.0009082322,0.0004943605,0.002403787,0.0006687677,0.000654332,0.0006060171,0.001494754,0.00746462],"category_scores_gemma":[0.002063456,0.0003031005,0.0004598281,0.001088407,0.0005439423,0.0006974197,0.0003962064,0.0006290951,0.001210569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003787494,"about_ca_system_score_gemma":0.0004661564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002484473,"about_ca_topic_score_gemma":0.001979775,"domain_scores_codex":[0.9996271,0.00005263908,0.00006921256,0.00004702956,0.00008118156,0.0001228576],"domain_scores_gemma":[0.9991978,0.0002362543,0.0001527307,0.00004014693,0.0001179302,0.0002551779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0009512572,0.0001973972,0.4811012,0.0001460011,0.00007092173,0.4968182,0.0001868922,0.0002161797,0.01146841,0.0005067907,0.001537092,0.006799625],"study_design_scores_gemma":[0.0001050708,0.0005646833,0.5219837,0.0001328811,0.0001763517,0.4675737,0.0004827838,0.001407893,0.003461141,0.0004086139,0.003671614,0.00003154706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942691,0.003536348,0.0005452362,0.001122964,0.0001872486,0.000109002,0.0007401509,0.00005304654,0.05101497],"genre_scores_gemma":[0.9969229,0.0006355082,0.0002635203,0.0003501519,0.0002266832,0.00001827085,0.0003421232,0.000009339032,0.001231519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00746462,"threshold_uncertainty_score":0.0249716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017939621279537,"score_gpt":0.301981046891225,"score_spread":0.2818016506784296,"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."}}