{"id":"W4212886487","doi":"10.1007/s40615-022-01257-y","title":"Race/Ethnicity may be an Important Predictor of Life Expectancy in Localized Prostate Cancer Patients: Novel Analyses Using Social Security Administration Life Tables","year":2022,"lang":"en","type":"article","venue":"Journal of Racial and Ethnic Health Disparities","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University Health Centre","funders":"Universitätsklinikum Hamburg-Eppendorf","keywords":"Life expectancy; Ethnic group; Prostate cancer; Epidemiology; Race (biology); Quality of Life Research; Social security; Gerontology; Medicine; Cancer; Demography; Psychology; Public health; Internal medicine; Sociology; Political science; Environmental health; Pathology; Anthropology","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":[0.000732573,0.0001828151,0.0008883511,0.0001799436,0.0002670688,0.00001927095,0.00006824038,0.00006636219,0.00008286917],"category_scores_gemma":[0.0001744575,0.0001530927,0.0001243489,0.00028931,0.0001349602,0.0002978958,0.00004991542,0.0003912519,1.736832e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004899958,"about_ca_system_score_gemma":0.002772848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003464498,"about_ca_topic_score_gemma":0.001938322,"domain_scores_codex":[0.997284,0.0002247044,0.001351401,0.0002022025,0.0006056532,0.0003320555],"domain_scores_gemma":[0.9979937,0.00007112083,0.001210186,0.00008459786,0.0002506702,0.0003897311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00701894,0.004823641,0.9545226,0.001480256,0.0003148334,0.00004017329,0.02716406,0.0002496489,0.0002975852,0.0001649154,0.0009463371,0.002977067],"study_design_scores_gemma":[0.01371466,0.007870225,0.9549716,0.0007940127,0.0003912377,0.00003145769,0.01852355,0.001400356,0.0004618082,0.0003472869,0.001145627,0.0003481985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709085,0.02251936,0.00001907525,0.005009647,0.0002768644,0.0004731089,0.0007815399,0.0000071496,0.000004785292],"genre_scores_gemma":[0.990006,0.008101687,0.0001066172,0.001375708,0.0002565253,0.00006184185,0.00006822789,0.00001665814,0.000006769195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01909749,"threshold_uncertainty_score":0.6242937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015614217992722,"score_gpt":0.4151621525868411,"score_spread":0.3136007307875689,"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."}}