{"id":"W7161937146","doi":"10.82308/23328","title":"Chronic obstructive pulmonary disease categorization using cardiovascular risk and inflammatory biomarkers in the Canadian population","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk factor; Odds ratio; Population; Lung disease; Pulmonary disease; Framingham Risk Score; Respiratory disease","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":[0.00136442,0.0004123434,0.0003741935,0.002651425,0.002002601,0.001064682,0.001167715,0.0004747049,0.001885713],"category_scores_gemma":[0.003038686,0.0002163653,0.0005835693,0.004491511,0.0005699253,0.0003906849,0.0009778356,0.0005043955,0.0002570898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01258689,"about_ca_system_score_gemma":0.02562947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9846694,"about_ca_topic_score_gemma":0.9821639,"domain_scores_codex":[0.9990183,0.00008109862,0.00006361153,0.0001441203,0.0004526317,0.0002401975],"domain_scores_gemma":[0.9988596,0.00006415076,0.0001737825,0.00004315134,0.0006272101,0.0002321485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004236867,0.00001858996,0.9931051,0.00005578357,0.00004246111,0.00003528606,0.0002444491,0.00006748454,0.000103797,0.000123673,0.001322582,0.004838369],"study_design_scores_gemma":[0.00000514215,0.0000136458,0.9983823,0.00003005914,0.00001862606,0.00003654085,0.0003682934,0.0001762647,0.00002465715,0.00003826283,0.0009004913,0.000005768219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972299,0.004906083,0.0005407688,0.001443586,0.00006683704,0.0002940154,0.01171653,0.00003123896,0.008701856],"genre_scores_gemma":[0.9939694,0.001753882,0.0004839018,0.0001861941,0.00002141029,0.00008774576,0.002511211,0.000004082945,0.0009821437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01533061,"threshold_uncertainty_score":0.09132475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267145765571194,"score_gpt":0.2669565260143479,"score_spread":0.254285068358636,"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."}}