{"id":"W4390439998","doi":"10.1016/j.acra.2023.11.022","title":"Machine Learning and CT Texture Features in Ex-smokers with no CT Evidence of Emphysema and Mildly Abnormal Diffusing Capacity","year":2023,"lang":"en","type":"article","venue":"Academic Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"DLCO; Medicine; Spirometry; Diffusing capacity; COPD; Lung volumes; Area under the curve; Radiology; Nuclear medicine; Cardiology; Internal medicine; Lung","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008735469,0.000210166,0.0005834952,0.0004785488,0.000118618,0.000006576034,0.0001080518,0.000132615,0.00001183084],"category_scores_gemma":[0.00145027,0.0001561023,0.00003690754,0.000544426,0.0005701819,0.0001101712,0.0001157907,0.002214314,0.000002632111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003301393,"about_ca_system_score_gemma":0.00004276435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006734395,"about_ca_topic_score_gemma":0.00001389668,"domain_scores_codex":[0.9984569,0.0002078285,0.0003276891,0.0004054864,0.0001892843,0.0004128022],"domain_scores_gemma":[0.9988478,0.0006704889,0.000154838,0.0001314251,0.00003114034,0.0001643524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002522501,0.00001048101,0.9666086,0.0003060495,0.00005882543,0.0003263197,0.001215387,0.0001923823,0.0211902,0.000137117,0.000539928,0.009162443],"study_design_scores_gemma":[0.002672401,0.0006272427,0.9559745,0.001514265,0.000117899,0.007414584,0.0003211596,0.02590763,0.0003863422,0.0001823265,0.004578903,0.0003028149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886494,0.007491355,0.00004662797,0.003193201,0.00009323512,0.0002060972,0.000001781155,0.000064924,0.0002533644],"genre_scores_gemma":[0.9874769,0.01076577,0.0006114325,0.0006325123,0.0001488351,0.00000674559,0.00001148468,0.00002787924,0.0003183975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02571524,"threshold_uncertainty_score":0.9620215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596340947807221,"score_gpt":0.3004614929452962,"score_spread":0.284498083467224,"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."}}