{"id":"W4321097043","doi":"10.1117/1.jmi.10.1.016002","title":"In vivo measurements of lung function using respiratory-gated micro-computed tomography in a smoke-exposure model of chronic obstructive pulmonary disease","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Imaging","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; British Columbia Lung Association","keywords":"Medicine; Air trapping; Expiration; Lung; Lung volumes; Functional residual capacity; Respiratory system; Pulmonary function testing; COPD; Parenchyma; Respiratory disease; In vivo; Nuclear medicine; Pathology; Radiology; 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":[0.0005261555,0.0007100262,0.0003958239,0.0005326307,0.0001958057,0.0003219853,0.0003785247,0.0009020572,0.0008144431],"category_scores_gemma":[0.0001899031,0.0002811259,0.0004322792,0.0002069256,0.0004575259,0.0003922915,0.0002398476,0.000999275,0.0001855441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004204179,"about_ca_system_score_gemma":0.0003427802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001273085,"about_ca_topic_score_gemma":0.00265484,"domain_scores_codex":[0.999687,0.00004013802,0.0000183497,0.00006279191,0.0001419741,0.0000497969],"domain_scores_gemma":[0.9997334,0.00002472298,0.00009589332,0.00002765736,0.00004599134,0.00007233743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002998277,0.0001442352,0.001475639,0.00003095175,0.000008527062,0.00003773765,0.0000135162,0.0001577517,0.9967062,0.00001583226,0.00002556791,0.001084309],"study_design_scores_gemma":[0.00004994907,0.002791634,0.04965714,0.00001791078,0.00006565249,0.0004167887,0.00006768119,0.005061337,0.9412264,0.00004960443,0.000575435,0.00002047385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884313,0.001400345,0.009102346,0.0001150556,0.00003318745,0.00009061457,0.0003030119,0.0001213485,0.0004027979],"genre_scores_gemma":[0.986931,0.001017685,0.009579803,0.0001532994,0.00001605564,0.0001781499,0.0005393323,0.00002240081,0.001562293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001273085,"threshold_uncertainty_score":0.003050387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03998631834507434,"score_gpt":0.3274924866775676,"score_spread":0.2875061683324933,"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."}}