{"id":"W4385254960","doi":"10.1164/rccm.202209-1698pp","title":"Repeatability of Pulmonary Quantitative Computed Tomography Measurements in Chronic Obstructive Pulmonary Disease","year":2023,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Environmental Health Sciences; National Institutes of Health; Genentech; Grifols; Regeneron Pharmaceuticals; AstraZeneca; Chiesi Farmaceutici; Sanofi; National Institute of Diabetes and Digestive and Kidney Diseases; Amgen; Ikaria; National Heart, Lung, and Blood Institute; Novartis Pharmaceuticals Corporation; Forest Research Institute; Mylan; COPD Foundation; GlaxoSmithKline","keywords":"Medicine; Repeatability; Pulmonary disease; Computed tomography; Quantitative computed tomography; Respiratory disease; Respiratory system; Tomography; Radiology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01182722,0.0002049764,0.0004383133,0.0005676703,0.0003341295,0.0005681198,0.0005582019,0.0006125052,0.0003604874],"category_scores_gemma":[0.03344891,0.0002721977,0.000407545,0.0004159545,0.0004858956,0.0004176819,0.0006939853,0.0004501637,0.0002390848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003260538,"about_ca_system_score_gemma":0.0003203994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002170595,"about_ca_topic_score_gemma":0.002774961,"domain_scores_codex":[0.9897963,0.004635449,0.001044433,0.001620993,0.002557441,0.0003452248],"domain_scores_gemma":[0.9637092,0.0221036,0.004546014,0.003089206,0.006193649,0.0003582444],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006720332,0.00006498347,0.9332124,0.0001879959,0.0003455181,0.0001216549,0.0006399546,0.0008275497,0.006566068,0.0003520872,0.001794831,0.05521481],"study_design_scores_gemma":[0.00001512884,0.0004267064,0.9926807,0.00002867743,0.0001165866,0.0005362267,0.000116301,0.00116597,0.003158271,0.0001321593,0.001605221,0.0000179661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730247,0.007302874,0.01404174,0.0003206876,0.000321169,0.0001022231,0.001032005,0.000216092,0.003638584],"genre_scores_gemma":[0.9981065,0.0001715721,0.001109079,0.00006406701,0.00006821928,0.00002732777,0.000255827,0.00001154995,0.0001859453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9881728,"threshold_uncertainty_score":0.06254905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04697679798772308,"score_gpt":0.3588081801761581,"score_spread":0.311831382188435,"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."}}