{"id":"W2588027075","doi":"10.1002/mrm.26642","title":"Pulmonary MRI morphometry modeling of airspace enlargement in chronic obstructive pulmonary disease and alpha‐1 antitrypsin deficiency","year":2017,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Reseau canadien de recherche respiratoire; Alpha-1 Foundation","keywords":"COPD; Medicine; DLCO; Pulmonary disease; Lung; Alpha 1-antitrypsin deficiency; Hounsfield scale; Internal medicine; Pulmonary emphysema; Nuclear medicine; Cardiology; Gastroenterology; Diffusing capacity; Radiology; Computed tomography; Lung function","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004146943,0.0002208339,0.0004528367,0.0002090902,0.0001378101,0.00002107067,0.0004651976,0.00004303477,0.0001846248],"category_scores_gemma":[0.00005098367,0.000197707,0.00004541086,0.0002419017,0.0005188071,0.0002007084,0.0002799678,0.0003308578,0.000004573864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000148523,"about_ca_system_score_gemma":0.0002519863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002017193,"about_ca_topic_score_gemma":0.00001357737,"domain_scores_codex":[0.9981284,0.00006490357,0.0004274022,0.0004882381,0.0004180523,0.000473044],"domain_scores_gemma":[0.9989417,0.00007596466,0.0001461576,0.0006279746,0.00006023665,0.0001480275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000143208,0.0002192761,0.6918296,0.0001491042,0.000006372449,0.0001468509,0.0004457243,0.0009158008,0.001847461,0.004431583,0.00007011851,0.299795],"study_design_scores_gemma":[0.001090068,0.00005305294,0.3720495,0.0004755637,0.0000164388,0.000002393626,0.001044786,0.6105894,0.00007757783,0.01410425,0.0002869811,0.0002099304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958467,0.02595571,0.002424348,0.0006808841,0.00009257322,0.0004543028,0.00002629314,0.000007181885,0.01189171],"genre_scores_gemma":[0.9983923,0.0008360989,0.0001726514,0.00001304206,0.0001640598,0.00005063625,0.00001199473,0.00002058464,0.0003386584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6096736,"threshold_uncertainty_score":0.8062258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914064670079102,"score_gpt":0.2961958268706818,"score_spread":0.2770551801698908,"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."}}