{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008636973,0.0005161606,0.0005680217,0.0005957388,0.0003423724,0.0007828738,0.0007818223,0.0004234462,0.00189186],"category_scores_gemma":[0.01485015,0.0002087718,0.001563926,0.0006646728,0.0002021154,0.0004647794,0.000926586,0.0007953164,0.0002114059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055926,"about_ca_system_score_gemma":0.002772484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04402678,"about_ca_topic_score_gemma":0.02868832,"domain_scores_codex":[0.9971479,0.001989987,0.0001065535,0.0003316347,0.0002927891,0.0001311936],"domain_scores_gemma":[0.9967015,0.001807026,0.000488135,0.000379339,0.0004695419,0.0001543733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001898861,0.0008162283,0.9342549,0.0001233948,0.001562932,0.00006229808,0.0001530211,0.02595348,0.0001749324,0.001685857,0.006445592,0.02686843],"study_design_scores_gemma":[0.0009538985,0.001818114,0.4718609,0.0003232703,0.002197726,0.0001878244,0.0003203243,0.5054085,0.0007317875,0.008332251,0.007786079,0.00007930871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805645,0.001286782,0.009373572,0.001945625,0.0001354642,0.0002142926,0.003324245,0.0001471718,0.003008289],"genre_scores_gemma":[0.9939007,0.0001611113,0.003248063,0.000272956,0.00003055815,0.00009378336,0.001830724,0.00001647451,0.0004457149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04402678,"threshold_uncertainty_score":0.08754104,"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."}}