{"id":"W6923648956","doi":"10.14288/1.0394994","title":"Chronic obstructive pulmonary disease prevalence and prediction in a high-risk lung cancer screening population","year":2020,"lang":"en","type":"article","venue":"Open Collections","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"COPD; Lung cancer; Spirometry; Lung cancer screening; Logistic regression; Population; Obstructive lung disease; Pulmonary 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":[0.00228685,0.0003880617,0.0004103336,0.0009647315,0.0005522667,0.0009880414,0.0004816754,0.0008654023,0.001400606],"category_scores_gemma":[0.008349546,0.000283655,0.0006133041,0.0005477162,0.0004596506,0.0004763799,0.0007252293,0.0009156338,0.0002913909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004861678,"about_ca_system_score_gemma":0.000607053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01788371,"about_ca_topic_score_gemma":0.01174026,"domain_scores_codex":[0.9989948,0.0004399153,0.00005891275,0.0001936108,0.0001664038,0.0001464107],"domain_scores_gemma":[0.9968118,0.001511636,0.0005894522,0.0001770407,0.000300371,0.0006096674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003770587,0.00002835527,0.9991725,0.000002396279,0.00001752459,0.00003163709,0.00002041049,0.0001125915,0.00002758599,0.00001120542,0.0000412921,0.0004968411],"study_design_scores_gemma":[0.000009757421,0.00009383876,0.9952875,0.000005780927,0.00003316417,0.0002413177,0.0001124905,0.004034439,0.00002159127,0.00008721455,0.00006841632,0.000004341399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992487,0.0001092262,0.0001709284,0.00009396458,0.000005627416,0.00001209858,0.0000997724,0.000005203447,0.0002544669],"genre_scores_gemma":[0.9997032,0.00003163564,0.00007577271,0.00001428181,0.000008101986,0.000004780131,0.0001216854,7.237023e-7,0.00003977682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01788371,"threshold_uncertainty_score":0.03555924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440796161444471,"score_gpt":0.2730136961421629,"score_spread":0.2486057345277181,"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."}}