{"id":"W4214501194","doi":"10.1002/cncr.34098","title":"Lung cancer screening use and implications of varying eligibility criteria by race and ethnicity: 2019 Behavioral Risk Factor Surveillance System data","year":2022,"lang":"en","type":"article","venue":"Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Cancer Institute","keywords":"Behavioral Risk Factor Surveillance System; Medicine; Confidence interval; Lung cancer screening; Demography; Ethnic group; Lung cancer; Task force; Behavioral risk; Environmental health; Internal medicine; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002117868,0.0001512953,0.0003878954,0.00003801749,0.0002195769,0.0000321078,0.0001208205,0.0000399338,0.0001748879],"category_scores_gemma":[0.00002455097,0.0001371117,0.00003280973,0.0001434933,0.00007008271,0.0001758645,0.0003145018,0.0001738944,1.458913e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004634096,"about_ca_system_score_gemma":0.0001313802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02029738,"about_ca_topic_score_gemma":0.0007226525,"domain_scores_codex":[0.9986976,0.0001061768,0.0002641744,0.0005432548,0.0001903437,0.000198421],"domain_scores_gemma":[0.9987968,0.0001360609,0.0001520027,0.0006953533,0.00009590854,0.0001238516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001030484,0.00007649935,0.9758791,0.0002375739,0.0001531409,0.000002399462,0.0002761862,0.00002050853,0.002007424,0.000005174968,0.01168399,0.009554937],"study_design_scores_gemma":[0.001414958,0.00009147405,0.9921952,0.0002104544,0.0004145765,0.000009559096,0.0001013142,0.001472197,0.0006030651,0.000001172928,0.003328447,0.0001575392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372263,0.04033651,0.0001373327,0.0008337924,0.0001717359,0.0006083034,0.02063778,0.00003745029,0.00001081639],"genre_scores_gemma":[0.9917324,0.007223305,0.0002117849,0.0001084927,0.00005641759,0.0003463915,0.0002281323,0.00002409732,0.00006896423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05450614,"threshold_uncertainty_score":0.9862266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07503323492529768,"score_gpt":0.4179604602892895,"score_spread":0.3429272253639918,"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."}}