{"id":"W4400689898","doi":"10.1148/radiol.233265","title":"CT Chest Imaging Using Normalized Join-Count: Predicting Emphysema Progression in the CanCOLD Study","year":2024,"lang":"en","type":"article","venue":"Radiology","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Université Laval; University of Ottawa; Dalhousie University; University of Toronto; McGill University; University of Calgary; Queen's University; Université de Sherbrooke; University of British Columbia","funders":"","keywords":"Medicine; Pulmonary emphysema; Join (topology); Radiology; Nuclear medicine; Internal medicine; Lung; Combinatorics","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":[0.001348986,0.0004892029,0.0003994188,0.0008124479,0.0003283425,0.001030405,0.0004949798,0.0007178625,0.0006878416],"category_scores_gemma":[0.003165165,0.0001580614,0.0002851314,0.0004109727,0.0004157983,0.0006592608,0.0005620174,0.0005296064,0.0001694744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002406037,"about_ca_system_score_gemma":0.00035021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002921329,"about_ca_topic_score_gemma":0.005409711,"domain_scores_codex":[0.9997039,0.00009459464,0.00001906495,0.00006247722,0.00009092932,0.0000289845],"domain_scores_gemma":[0.9987458,0.0003643066,0.0002257027,0.0001490572,0.0002341192,0.0002810435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004238419,0.0002888693,0.9661453,0.00006070259,0.000197165,0.0003943682,0.000155293,0.002070986,0.009998111,0.0002674061,0.0004050807,0.01577841],"study_design_scores_gemma":[0.0001539792,0.001326756,0.9398687,0.00003817557,0.0002756556,0.00153398,0.000367926,0.04651741,0.007291215,0.0007414964,0.001813114,0.0000715032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964766,0.0003360469,0.001903181,0.00005511605,0.00001208914,0.00003934364,0.0003045768,0.00003546018,0.0008374744],"genre_scores_gemma":[0.99734,0.0001009807,0.001703939,0.00001772397,0.00001892823,0.00001762146,0.0004683402,0.00001252144,0.0003199044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9970787,"threshold_uncertainty_score":0.007134199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677256927875718,"score_gpt":0.3608234967185545,"score_spread":0.3340509274397974,"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."}}