{"id":"W7017516177","doi":"","title":"Breast Cancer Screening in Racialized Women: Implications for Health Equity","year":2014,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Racialization; Breast cancer screening; Breast cancer; Ethnic group; Cancer screening; Health equity; Socioeconomic status; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005141553,0.0008521034,0.002252075,0.0007886089,0.0004627379,0.0001915913,0.000911312,0.0006720152,0.0010365],"category_scores_gemma":[0.0004215199,0.0009014867,0.0003070574,0.001135243,0.0001733347,0.000197472,0.0004262587,0.0008365121,0.0003612719],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007848211,"about_ca_system_score_gemma":0.007998854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05490852,"about_ca_topic_score_gemma":0.05150962,"domain_scores_codex":[0.9933687,0.0003476811,0.001666861,0.001418503,0.001104735,0.002093511],"domain_scores_gemma":[0.9945346,0.0002580579,0.002005701,0.001513562,0.0009962498,0.0006918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006658656,0.0002800457,0.01849387,0.001958411,0.0004020817,0.000005675163,0.001582406,0.0001195872,0.0001357281,0.0003676554,0.7942753,0.1817133],"study_design_scores_gemma":[0.002569216,0.00008614417,0.04871419,0.001012839,0.00009070491,0.0001007756,0.00007132055,0.00007611202,0.0000102948,0.0006050755,0.9457888,0.000874533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02332319,0.07299282,0.0228532,0.1440014,0.0159105,0.05665597,0.4120807,0.007804935,0.2443772],"genre_scores_gemma":[0.7393174,0.01765884,0.00982609,0.008347004,0.03411837,0.06250872,0.02043759,0.00621556,0.1015705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7159942,"threshold_uncertainty_score":0.9998767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08402492084965298,"score_gpt":0.4500835701150111,"score_spread":0.3660586492653581,"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."}}