{"id":"W3042027670","doi":"10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a2229","title":"Integrative -Omics Identify Potential Biomarkers and Therapeutic Targets for Idiopathic Pulmonary Fibrosis","year":2020,"lang":"en","type":"article","venue":"","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; McMaster University; Université Laval; St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Idiopathic pulmonary fibrosis; Omics; Pulmonary fibrosis; Computational biology; Bioinformatics; Pulmonary disease; Fibrosis; Lung; Pathology; Internal medicine; Biology","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":[0.00239155,0.001114585,0.002774396,0.00357218,0.0006121583,0.003631819,0.00078604,0.0008960086,0.004190112],"category_scores_gemma":[0.003737891,0.0003473074,0.002195288,0.003622035,0.0005012765,0.00181783,0.00192784,0.001374841,0.0008258951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007320567,"about_ca_system_score_gemma":0.001514549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122478,"about_ca_topic_score_gemma":0.002408003,"domain_scores_codex":[0.9987541,0.0003457886,0.0001474827,0.0003127281,0.0002946386,0.0001451248],"domain_scores_gemma":[0.9983359,0.0006324243,0.0004479964,0.0001979342,0.0002866783,0.00009908557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002957331,0.0005631218,0.3604535,0.01232641,0.01174644,0.002278792,0.001131732,0.007643184,0.1119747,0.02185128,0.01605434,0.4510191],"study_design_scores_gemma":[0.0004064603,0.001836464,0.637787,0.004672328,0.01776571,0.00600441,0.002650171,0.02187337,0.02875032,0.1085318,0.1693867,0.0003352948],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4817924,0.3433982,0.06593552,0.01630346,0.001531702,0.0004991598,0.05945139,0.001169895,0.02991825],"genre_scores_gemma":[0.8522071,0.06916836,0.04151279,0.004948823,0.0009808392,0.0002660067,0.02824893,0.0001698171,0.002497287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004190112,"threshold_uncertainty_score":0.01401734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637050863098083,"score_gpt":0.2720898871520823,"score_spread":0.2557193785211015,"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."}}