{"id":"W4383998835","doi":"10.1158/1055-9965.epi-23-0444","title":"Socioeconomic Status at Birth and Breast Tissue Composition in Adolescence and Adulthood","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Body mass index; Socioeconomic status; Medicine; Confidence interval; Demography; Breast cancer; Cohort study; Mass index; Obstetrics; Cancer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004565124,0.0001610083,0.0001559125,0.0003472457,0.0002459135,0.0003901897,0.0001693898,0.0001797978,0.001248099],"category_scores_gemma":[0.001420706,0.0001187393,0.0002735177,0.000369062,0.0001987904,0.0002103699,0.0004052949,0.0003533663,0.0001139499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756255,"about_ca_system_score_gemma":0.0002768003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01755261,"about_ca_topic_score_gemma":0.01779048,"domain_scores_codex":[0.9998443,0.00004031914,0.0000119329,0.00003035321,0.00003148037,0.00004165546],"domain_scores_gemma":[0.9991789,0.0001340835,0.0003903327,0.00004190809,0.00009189166,0.0001628266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000221206,0.000009432491,0.9991456,0.000003330732,0.00002387908,0.00001743693,0.00003845101,0.00002211385,0.00007159915,0.00002026164,0.00003717084,0.0005886341],"study_design_scores_gemma":[4.824246e-7,0.00001249181,0.9997635,0.000003072081,0.000006374789,0.00002138398,0.0000380535,0.00006033051,0.0000182878,0.00001005183,0.0000654844,5.251673e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990517,0.0002528038,0.00006268764,0.00006169787,0.000003648699,0.000003113649,0.0002655335,0.000001621967,0.0002971326],"genre_scores_gemma":[0.9994867,0.0001283961,0.00005071348,0.000009228627,0.000003394501,0.000003894533,0.0002022105,7.765702e-7,0.0001147949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01755261,"threshold_uncertainty_score":0.0349009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147897199342897,"score_gpt":0.3331714883785934,"score_spread":0.3116925163851644,"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."}}