{"id":"W3157526558","doi":"10.1513/annalsats.202010-1276oc","title":"Comorbidity Profiles and Lung Cancer Screening among Older Adults: U.S. Behavioral Risk Factor Surveillance System 2017–2019","year":2021,"lang":"en","type":"article","venue":"Annals of the American Thoracic Society","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Cancer Institute","keywords":"Medicine; Comorbidity; Behavioral Risk Factor Surveillance System; Lung cancer; Risk factor; Behavioral risk; Gerontology; Internal medicine; Oncology; Environmental health; Pathology; Public health","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":[0.00141386,0.0003541152,0.0004239811,0.002558352,0.0005275943,0.0007476749,0.0006383963,0.00032641,0.001142328],"category_scores_gemma":[0.004996008,0.000288016,0.0006808673,0.004057767,0.0002080427,0.000634211,0.001085747,0.0005591156,0.0002315828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103929,"about_ca_system_score_gemma":0.001645885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0926726,"about_ca_topic_score_gemma":0.1407603,"domain_scores_codex":[0.9986467,0.0003238211,0.000336897,0.0002475313,0.0002990409,0.0001459909],"domain_scores_gemma":[0.9953316,0.0004528101,0.002539001,0.0002401918,0.001004385,0.0004319636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001847925,0.00001816732,0.9970516,0.00002833967,0.00006800966,0.000009963256,0.00002894068,0.0000839788,0.0000428289,0.0000293576,0.001189269,0.001431129],"study_design_scores_gemma":[0.000005821464,0.00002061158,0.9984393,0.00003235795,0.00003616268,0.00003841565,0.0001147806,0.000522895,0.00005232966,0.00002588693,0.0007078541,0.000003766743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9239937,0.001306699,0.0009521417,0.0008888782,0.00009133227,0.0001732352,0.0702882,0.00006917548,0.002236728],"genre_scores_gemma":[0.9624149,0.0005626565,0.001083005,0.0003607887,0.00008249447,0.0002648114,0.03483643,0.00001061451,0.0003842847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0926726,"threshold_uncertainty_score":0.1842663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05381317830150134,"score_gpt":0.3964995440369541,"score_spread":0.3426863657354527,"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."}}