{"id":"W2886616492","doi":"10.1186/s12931-018-0857-1","title":"Comprehensive gene expression profiling identifies distinct and overlapping transcriptional profiles in non-specific interstitial pneumonia and idiopathic pulmonary fibrosis","year":2018,"lang":"en","type":"article","venue":"Respiratory Research","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victoria Hospital; University of Toronto; London Health Sciences Centre; Western University","funders":"Schulich School of Medicine and Dentistry; Canadian Institutes of Health Research; Lawson Health Research Institute; F. Hoffmann-La Roche","keywords":"Idiopathic pulmonary fibrosis; Gene expression profiling; Biology; Pulmonary fibrosis; Gene; Gene expression; Usual interstitial pneumonia; Fibrosis; Pneumonia; Genetics; Pathology; Computational biology; Medicine; Lung; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008601683,0.00026881,0.000439216,0.0005412397,0.0004921662,0.0001424825,0.0001541445,0.0001976711,0.00006706464],"category_scores_gemma":[0.0000868024,0.0002462603,0.00009548938,0.000382155,0.00112371,0.0003355557,0.0002670943,0.0006878366,0.00003057907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001657002,"about_ca_system_score_gemma":0.0001566278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005796914,"about_ca_topic_score_gemma":0.000007931412,"domain_scores_codex":[0.9969587,0.000355836,0.0005030773,0.0007860772,0.0007785138,0.000617845],"domain_scores_gemma":[0.9986803,0.000135928,0.0000677151,0.0003281055,0.000466149,0.0003218214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00466966,0.0001495276,0.01532876,0.0009703181,0.00001861939,0.0003464542,0.0004317105,6.332458e-7,0.9756722,0.0001483802,0.0001273503,0.002136417],"study_design_scores_gemma":[0.002672986,0.006714281,0.7941262,0.008277735,0.00005208473,0.0003491512,0.002863441,0.002242111,0.175427,0.0005528864,0.005969271,0.0007529065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891135,0.008755047,0.0001187709,0.0001718386,0.0001990211,0.0008813777,0.00007194101,0.00004313583,0.0006454188],"genre_scores_gemma":[0.9979991,0.0003770595,0.0002323765,0.00007929132,0.001007718,0.0001311005,0.00003301123,0.00004417725,0.00009617992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8002452,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06257859049216667,"score_gpt":0.3397955524246045,"score_spread":0.2772169619324378,"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."}}