{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000649975,0.0001416701,0.0003470841,0.0002656123,0.00007085935,0.000007670486,0.00003242357,0.0001074676,0.00003712604],"category_scores_gemma":[0.00003293835,0.0001387883,0.00006034691,0.0001860805,0.000273112,0.0001740886,0.00005859712,0.0001098359,0.00001982398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496931,"about_ca_system_score_gemma":0.00004118837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001239646,"about_ca_topic_score_gemma":0.00008841653,"domain_scores_codex":[0.9986624,0.0001869833,0.0003387553,0.0003962967,0.00004040009,0.000375173],"domain_scores_gemma":[0.9994155,0.0001623535,0.0001308705,0.0001136725,0.00002135487,0.000156205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002946665,0.00002862201,0.860678,0.0001545981,0.00007355618,0.000009553747,0.0000765341,0.000002476705,0.001863243,0.00006872373,0.001242387,0.1355076],"study_design_scores_gemma":[0.001268628,0.00009922044,0.9947355,0.0004758956,0.00004810843,0.0001734018,0.0001036997,0.0006497047,0.0001035039,0.001866177,0.0003511815,0.0001249526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897369,0.004922993,0.0001331819,0.00447311,0.0001536724,0.0003409251,0.00004963693,0.00007755093,0.0001121041],"genre_scores_gemma":[0.9955958,0.003326874,0.0002665433,0.0003791137,0.00005573954,0.00005514938,0.0001676435,0.00001387768,0.0001392344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1353827,"threshold_uncertainty_score":0.5659623,"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."}}