{"id":"W3007250251","doi":"10.1148/radiol.2020191735","title":"Pulmonary Imaging Phenotypes of Chronic Obstructive Pulmonary Disease Using Multiparametric Response Maps","year":2020,"lang":"en","type":"article","venue":"Radiology","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Medicine; COPD; Pulmonary disease; Gold standard (test); Pulmonary function testing; Nuclear medicine; Obstructive lung disease; Voxel; Prospective cohort study; Effective diffusion coefficient; Lung volumes; Internal medicine; Lung; Radiology; Cardiology; Magnetic resonance imaging","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":[0.001303556,0.0005631413,0.0003763897,0.002064035,0.0001487996,0.001216453,0.0003709532,0.0005748462,0.001316249],"category_scores_gemma":[0.00293295,0.0001655591,0.0006140129,0.0007323819,0.0002253091,0.0005014999,0.0006343385,0.0003473781,0.0003104027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001880346,"about_ca_system_score_gemma":0.00012704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000530769,"about_ca_topic_score_gemma":0.0006917633,"domain_scores_codex":[0.9993684,0.0002912956,0.00004491207,0.0001300224,0.0001190619,0.00004634552],"domain_scores_gemma":[0.9986103,0.0005636521,0.0004640484,0.0001207613,0.0001576515,0.0000836644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002271197,0.000403502,0.7492151,0.0007450354,0.0007890938,0.0005601888,0.0005849843,0.02381402,0.04328375,0.00107399,0.002841343,0.1744179],"study_design_scores_gemma":[0.00007412871,0.000818785,0.8765366,0.0001206021,0.0003087737,0.002414499,0.0004687238,0.09814007,0.01386887,0.003197946,0.003932077,0.0001188037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206498,0.002089378,0.06896114,0.0003934092,0.00004155784,0.000321298,0.002833223,0.0007549258,0.003955328],"genre_scores_gemma":[0.9867761,0.0002009047,0.01197362,0.00005916944,0.00003085039,0.000123245,0.0004864378,0.00003548266,0.0003142889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002064035,"threshold_uncertainty_score":0.006893933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655902678701676,"score_gpt":0.2990627943725053,"score_spread":0.2725037675854886,"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."}}