{"id":"W6892211058","doi":"10.5167/uzh-264178","title":"CT Chest Imaging Using Normalized Join-Count: Predicting Emphysema Progression in the CanCOLD Study","year":2024,"lang":"en","type":"article","venue":"Zurich Open Repository and Archive (University of Zurich)","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DLCO; COPD; Lung volumes; Expiration; Diffusing capacity; Logistic regression; Spirometry; Prospective cohort study; Pulmonary emphysema","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001435715,0.0005370424,0.0003864994,0.0005049238,0.0008885734,0.001042996,0.001129255,0.0007926732,0.000975951],"category_scores_gemma":[0.002804355,0.0003042914,0.0006088095,0.0007104706,0.0004976952,0.0004836741,0.0006893835,0.0007850406,0.0001896688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412516,"about_ca_system_score_gemma":0.001965912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1815096,"about_ca_topic_score_gemma":0.2944687,"domain_scores_codex":[0.9994961,0.00008188045,0.0000302839,0.0001255077,0.0001614096,0.0001048263],"domain_scores_gemma":[0.9987361,0.0001249779,0.000305406,0.0001649126,0.0003594347,0.0003091646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005780456,0.00003843401,0.9978508,0.00001311982,0.0000702728,0.00003010563,0.00006193828,0.00006153556,0.0001711814,0.00002474569,0.0002389705,0.0008609269],"study_design_scores_gemma":[0.00003509693,0.00008639912,0.9985819,0.000009757505,0.00007290697,0.0000721145,0.0001131541,0.0005371853,0.00007748845,0.00003140239,0.0003747706,0.000007837797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976705,0.0002518843,0.0001414406,0.00005916584,0.000007816921,0.0000472945,0.001088779,0.000006560417,0.0007265041],"genre_scores_gemma":[0.9977251,0.00006556132,0.0002708171,0.00002434457,0.000009349952,0.00002157587,0.001534317,0.000003419768,0.0003455577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8184904,"threshold_uncertainty_score":0.3609062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877419320779166,"score_gpt":0.2960464089701967,"score_spread":0.2772722157624051,"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."}}