{"id":"W4387949767","doi":"10.1001/jamaoncol.2023.4447","title":"Risk Model–Based Lung Cancer Screening and Racial and Ethnic Disparities in the US","year":2023,"lang":"en","type":"article","venue":"JAMA Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Cancer Institute","keywords":"Medicine; Lung cancer screening; Ethnic group; Population; Cohort; Demography; Incidence (geometry); Cancer screening; Lung cancer; Cancer; Internal medicine; Gerontology; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003114407,0.00008464439,0.0002136131,0.00007410571,0.00007503069,0.0000150103,0.00003444552,0.0001025928,0.00001614549],"category_scores_gemma":[0.00006033859,0.00005511563,0.00002744291,0.000151587,0.00008783072,0.00003824512,0.00003393989,0.0002019844,0.000001264468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001526628,"about_ca_system_score_gemma":0.000119912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002498736,"about_ca_topic_score_gemma":0.006522388,"domain_scores_codex":[0.9993135,0.00009570872,0.0001193128,0.0001803796,0.00009914308,0.0001919392],"domain_scores_gemma":[0.9994441,0.000340917,0.00004266245,0.0001043296,0.00001912848,0.00004881537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002790245,0.00009966235,0.8979514,0.00008919571,0.00007811838,0.0001526994,0.002135868,0.001443179,0.00001504087,0.0002136158,0.007681833,0.08986033],"study_design_scores_gemma":[0.003709652,0.0002472976,0.8838715,0.00008717621,0.0002108672,0.000008327468,0.0001689917,0.1084554,0.00002352028,0.0001430331,0.00301425,0.0000599754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688705,0.003960667,0.00006544883,0.02611848,0.00007618731,0.0003364113,0.00002861321,0.00002598285,0.000517671],"genre_scores_gemma":[0.9919009,0.003947636,0.0002425243,0.003287535,0.0001401503,0.0003617425,0.00001336639,0.00000956784,0.00009654635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1070123,"threshold_uncertainty_score":0.3777358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607761868885163,"score_gpt":0.3848904457327718,"score_spread":0.3488128270439202,"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."}}