{"id":"W1966439729","doi":"10.1158/1055-9965.epi-06-0241","title":"No Association Between 25-Hydroxyvitamin D and Mammographic Density","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Quartile; MAMMOGRAPHIC DENSITY; Vitamin D and neurology; Body mass index; Menopause; Internal medicine; Cancer; Bone density; Mammography; Physiology; Demography; Endocrinology; Oncology; Osteoporosis; Confidence interval","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":[0.001053686,0.0001992445,0.0003421432,0.0004940772,0.0003958656,0.0005431696,0.0005587757,0.0003856561,0.003270568],"category_scores_gemma":[0.006209184,0.0003400887,0.0005518745,0.000555441,0.0003722056,0.0002699786,0.0003028946,0.0002907679,0.0002711456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004521781,"about_ca_system_score_gemma":0.0004650902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02581534,"about_ca_topic_score_gemma":0.03677499,"domain_scores_codex":[0.999319,0.000200543,0.00004907403,0.0001867016,0.0001627673,0.00008197517],"domain_scores_gemma":[0.9960386,0.001424101,0.001214032,0.0004480164,0.0003672118,0.0005079745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001948803,0.0000134652,0.9979317,0.00002099244,0.0000970168,0.00003881743,0.00002995588,0.00002994157,0.0003293279,0.00002692379,0.00006916498,0.001217856],"study_design_scores_gemma":[0.00000728446,0.00006380698,0.9992889,0.00000964049,0.0000780752,0.0001114394,0.00003054991,0.0001098939,0.00004745886,0.00002035723,0.0002304526,0.00000207737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946494,0.001672526,0.0002848969,0.0001383673,0.00002354312,0.00001437194,0.0007185671,0.00001243285,0.002485884],"genre_scores_gemma":[0.9988531,0.0002116676,0.0001130993,0.00003757935,0.00001226568,0.00000565921,0.0002058594,0.000001994724,0.0005587219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02581534,"threshold_uncertainty_score":0.05133015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969532962509351,"score_gpt":0.3060607422924595,"score_spread":0.286365412667366,"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."}}