{"id":"W2804162460","doi":"10.1186/s13058-018-0954-6","title":"Common genetic variation and novel loci associated with volumetric mammographic density","year":2018,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Cancerföreningen i Stockholm; Cancerfonden; European Commission; National Institutes of Health; Vetenskapsrådet; Cancer Research UK; Government of Canada; Fondation du cancer du sein du Québec; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Genome Canada","keywords":"Breast cancer; Heritability; Single-nucleotide polymorphism; Cohort; Genetic architecture; Genetic variation; Oncology; SNP; Medicine; Genome-wide association study; Locus (genetics); Genetics; Quantitative trait locus; Biology; Cancer; Internal medicine; Genotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008247971,0.0001207306,0.0002319891,0.0003796989,0.0003051914,0.00006628482,0.000115264,0.000107874,0.0001647251],"category_scores_gemma":[0.0001271987,0.00009946273,0.00003116645,0.002093725,0.0004179957,0.0001024958,0.00008973459,0.0003757511,0.000016231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003243262,"about_ca_system_score_gemma":0.0003292885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01642199,"about_ca_topic_score_gemma":0.005779342,"domain_scores_codex":[0.9978495,0.00009911456,0.0001629288,0.0003620857,0.001020415,0.0005060156],"domain_scores_gemma":[0.9981928,0.00008581761,0.0000595965,0.0002624428,0.00116099,0.0002383351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008658943,0.00009236122,0.9761661,0.00003430464,0.0001169837,0.00003708145,0.0002008158,0.000003466276,0.00258154,0.00007506643,0.001121453,0.01870495],"study_design_scores_gemma":[0.001383162,0.0005249102,0.9958766,0.0002348489,0.00006258482,0.0002430272,0.00007085328,0.0010026,0.0001949356,0.0001013279,0.0001928515,0.0001123213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996497,0.0004651251,0.0007364108,0.001227847,0.00004221039,0.0003610884,0.00003637183,0.00004292018,0.0005910478],"genre_scores_gemma":[0.9986905,0.00008482366,0.0003377844,0.0002569252,0.0003158331,0.00003980094,0.00001232994,0.0000208122,0.0002411398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01971049,"threshold_uncertainty_score":0.9901277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075132889889455,"score_gpt":0.3904014734852187,"score_spread":0.2828881844962732,"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."}}