{"id":"W4389891503","doi":"10.32920/24625212","title":"Computed Tomography Spatial and Temporal Trajectories to Quantify Progression Patterns in Chronic Obstructive Pulmonary Disease","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Voxel; COPD; Pulmonary disease; Internal medicine; Medicine; Pulmonary function testing; Computed tomography; Random effects model; Nuclear medicine; Mathematics; Combinatorics; Cardiology; Radiology","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":[0.0008563807,0.0003217355,0.0002931545,0.001378737,0.0001993366,0.0007613396,0.0002508869,0.0004911663,0.000794115],"category_scores_gemma":[0.002763577,0.0001747687,0.0003150975,0.00133389,0.0001724198,0.0003656163,0.0004220605,0.0005172204,0.0001621673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003894871,"about_ca_system_score_gemma":0.0003958383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008733978,"about_ca_topic_score_gemma":0.01358977,"domain_scores_codex":[0.9997138,0.00008322181,0.00001953198,0.00007682202,0.00007546285,0.00003112252],"domain_scores_gemma":[0.9990746,0.0003074092,0.0002907177,0.00008938988,0.0001586805,0.00007921681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001289168,0.0001576391,0.9000272,0.0002165482,0.0004284226,0.0002230896,0.0003300584,0.01159345,0.01871985,0.0009566532,0.001294977,0.06476299],"study_design_scores_gemma":[0.00001926084,0.000243713,0.937124,0.00004643397,0.00009797642,0.0005213813,0.0002772338,0.05575376,0.003188011,0.0009708124,0.001726926,0.00003045775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817806,0.001919026,0.01261534,0.0001981092,0.00002000059,0.00005876416,0.001663098,0.0001685076,0.00157658],"genre_scores_gemma":[0.9898378,0.0003270156,0.008455607,0.00002862725,0.00001183413,0.0000499041,0.0007459138,0.00002415088,0.0005192346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008733978,"threshold_uncertainty_score":0.01736629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369255378358657,"score_gpt":0.3350280598236029,"score_spread":0.3013355060400164,"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."}}