{"id":"W4200475061","doi":"10.1148/ryai.210105","title":"Improved Detection of Chronic Obstructive Pulmonary Disease at Chest CT Using the Mean Curvature of Isophotes","year":2021,"lang":"en","type":"article","venue":"Radiology Artificial Intelligence","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; University of Toronto; McGill University; Lakeshore General Hospital; McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Medicine; Pulmonary disease; Radiology; Cardiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002637193,0.0008326029,0.0006055295,0.00276712,0.0001902489,0.0009533727,0.0005937775,0.0007021035,0.0008128459],"category_scores_gemma":[0.01197461,0.0003294742,0.0007656231,0.0008492436,0.0004292623,0.0009519182,0.0007518819,0.0004902672,0.0003212148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007894931,"about_ca_system_score_gemma":0.0004139204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007464292,"about_ca_topic_score_gemma":0.008993895,"domain_scores_codex":[0.9986485,0.0004218029,0.00008741579,0.0003846435,0.0003497179,0.0001080113],"domain_scores_gemma":[0.9953378,0.001874246,0.001292748,0.0004139914,0.0009063396,0.0001747498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008592364,0.0001040546,0.8846456,0.0002848634,0.0004614256,0.0001232038,0.0001176042,0.007674665,0.009854803,0.0001172334,0.0009282838,0.09482902],"study_design_scores_gemma":[0.00002155816,0.0003553962,0.9068158,0.00005392632,0.0002207244,0.0006831269,0.00008460709,0.08536743,0.005571682,0.0002093708,0.0005666642,0.00004975616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681409,0.002288555,0.02615811,0.0002394221,0.00005159893,0.00009225702,0.001169636,0.0004235534,0.00143598],"genre_scores_gemma":[0.9928764,0.0002280976,0.006065014,0.00003099083,0.0000307204,0.0000143285,0.0005689075,0.00001343222,0.0001719405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007464292,"threshold_uncertainty_score":0.01484168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762427970654773,"score_gpt":0.3139190566609588,"score_spread":0.2762947769544111,"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."}}