{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038325,0.0002067111,0.000380322,0.0002824272,0.0001474433,0.00005244185,0.000211322,0.00004593733,0.0001176376],"category_scores_gemma":[0.0001578182,0.0001398376,0.00009913921,0.0005886216,0.0001932783,0.00014605,0.000124712,0.0006125746,0.0000197066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006911766,"about_ca_system_score_gemma":0.0005463215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007403338,"about_ca_topic_score_gemma":0.0001118336,"domain_scores_codex":[0.9976984,0.0004410087,0.0003615232,0.0005166154,0.0004005052,0.0005819862],"domain_scores_gemma":[0.9991007,0.0002737717,0.00005437328,0.0004063617,0.00005547961,0.0001092845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002326576,0.0004181206,0.9480165,0.0005982921,0.0001275796,0.008297268,0.003036914,0.00005922828,0.006907801,0.00008391502,0.0004044576,0.0318173],"study_design_scores_gemma":[0.002412911,0.0002488122,0.9228953,0.0005751929,0.0001925293,0.004830808,0.005065158,0.06080946,0.0001354183,0.0001009077,0.002524297,0.00020927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872919,0.008329132,0.00003554276,0.0009161087,0.000425671,0.001670629,0.00001268171,0.0001018948,0.001216498],"genre_scores_gemma":[0.9987276,0.00004183601,0.0001404315,0.000136888,0.0006584866,0.0001617949,0.00002134808,0.00004124335,0.00007040665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06075023,"threshold_uncertainty_score":0.5702413,"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."}}