{"id":"W4392907935","doi":"10.32920/25412662.v1","title":"Principal Component Analysis of Quantitative Computed Tomography Features and Visual Emphysema Scores: Association With Lung Function Decline","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"COPD; Principal component analysis; Medicine; Quantitative computed tomography; Lung function; Computed tomography; Lung; Pulmonary disease; Radiology; Tomography; Disease; Pathology; Internal medicine; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001219285,0.0008216618,0.0004369584,0.001087521,0.0001804322,0.001296989,0.0003668514,0.0005256402,0.001778266],"category_scores_gemma":[0.005603618,0.0001454889,0.0007387087,0.0008569362,0.0003698353,0.0004430197,0.0004661935,0.0008391036,0.0005936818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002341394,"about_ca_system_score_gemma":0.0003603895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002085103,"about_ca_topic_score_gemma":0.001185148,"domain_scores_codex":[0.9994316,0.0001977335,0.00003557361,0.0001375264,0.0001272375,0.00007025423],"domain_scores_gemma":[0.9964677,0.001749739,0.0007042669,0.0003488823,0.0004046314,0.0003248051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00123872,0.0003491209,0.9243197,0.00009444738,0.000606801,0.0001512899,0.0001741541,0.00326504,0.004745804,0.0003247349,0.001295273,0.06343491],"study_design_scores_gemma":[0.00001831501,0.0003401965,0.9675245,0.00003119401,0.000172546,0.0004737905,0.0002124811,0.02833009,0.001343303,0.0009128797,0.0006070747,0.00003374064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907979,0.0008120943,0.006735869,0.0001923044,0.00004375656,0.00002513469,0.0005254051,0.000137159,0.0007303625],"genre_scores_gemma":[0.9974684,0.000149159,0.001493729,0.00001096952,0.00002794726,0.00001400554,0.0003314601,0.00002144766,0.0004829252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002085103,"threshold_uncertainty_score":0.006448269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00803938942751371,"score_gpt":0.2693141353763965,"score_spread":0.2612747459488828,"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."}}