{"id":"W1518202146","doi":"10.1111/j.1440-1843.2011.02117.x","title":"Quantitative pulmonary imaging using computed tomography and magnetic resonance imaging","year":2011,"lang":"en","type":"review","venue":"Respirology","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; St. Paul's Hospital; University of British Columbia Hospital; Vancouver General Hospital; Western University","funders":"National Heart, Lung, and Blood Institute; University of Pittsburgh; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; British Columbia Lung Association","keywords":"Medicine; Magnetic resonance imaging; Radiology; Lung function; Lung; Spirometry; Computed tomography; Lung disease; Medical physics; Internal medicine; Asthma","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002959856,0.0005155994,0.00142089,0.000414183,0.0002122481,0.0000559462,0.0004416095,0.0001024281,0.0001549551],"category_scores_gemma":[0.000006666126,0.0004742326,0.0003683564,0.0004416693,0.00050969,0.0001395626,0.000439981,0.0007099243,0.00004997333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005623803,"about_ca_system_score_gemma":0.0003458774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002774025,"about_ca_topic_score_gemma":7.458093e-7,"domain_scores_codex":[0.9973148,0.0004813918,0.0005630843,0.0007872808,0.0001382902,0.0007151471],"domain_scores_gemma":[0.998673,0.0003418214,0.0002873297,0.0004541948,0.00008246309,0.0001611827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001677837,0.0000446423,0.002270962,0.0004714156,0.00005086536,0.00003722982,0.00006642365,3.062823e-7,0.00000560944,0.01308334,0.00008218673,0.9838703],"study_design_scores_gemma":[0.0002994157,0.00002580479,0.0001465645,0.001745107,0.0003359158,0.00008093718,0.00009421676,0.03453315,0.000001186749,0.01148411,0.9505301,0.0007235349],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001121063,0.9903468,0.004422579,0.000012245,0.0001281662,0.0004707173,0.00008857036,0.00003809576,0.004380756],"genre_scores_gemma":[0.003382397,0.9945153,0.001068442,0.00006495733,0.0004304646,0.00009377049,0.0001152744,0.0001633861,0.0001660145],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9831467,"threshold_uncertainty_score":0.9997709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05739974942440725,"score_gpt":0.3515206434126101,"score_spread":0.2941208939882029,"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."}}