{"id":"W2186548136","doi":"10.1158/1055-9965.1156.13.7","title":"Mammographic Density in Relation to Daidzein-Metabolizing Phenotypes in Overweight, Postmenopausal Women","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Daidzein; Equol; MAMMOGRAPHIC DENSITY; Endocrinology; Internal medicine; Estrone; Breast cancer; Medicine; Hormone; Postmenopausal women; Physiology; Chemistry; Cancer; Mammography; Genistein","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":[0.0001818027,0.0001725285,0.0002134251,0.0005883942,0.0002922999,0.0003022657,0.0001563411,0.0002922055,0.001352124],"category_scores_gemma":[0.00139341,0.000235546,0.000161687,0.0005199041,0.0001950166,0.0001566116,0.0002787059,0.0002719217,0.0001654616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428245,"about_ca_system_score_gemma":0.00009163099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006526233,"about_ca_topic_score_gemma":0.007644466,"domain_scores_codex":[0.9999069,0.00002357509,0.000009094687,0.00001991914,0.00002163523,0.00001879701],"domain_scores_gemma":[0.9995556,0.00009183429,0.000172317,0.0000214714,0.00004584213,0.0001129083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002724607,0.00004380605,0.9981596,0.000004219242,0.00001798194,0.00005100677,0.00005072193,0.00001445558,0.0004598343,0.000005328126,0.00003495032,0.0008857521],"study_design_scores_gemma":[0.000005148087,0.00006458111,0.9997008,0.000001059683,0.000009176082,0.00008203879,0.00003676017,0.00003871197,0.00002692929,0.000004784484,0.00002940073,6.85376e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995586,0.0001321988,0.00001835623,0.00001387976,0.000001476675,0.000005270149,0.00007709491,0.000001893344,0.0001912074],"genre_scores_gemma":[0.9996425,0.00005683468,0.00002640599,0.000009850762,0.000004643272,0.000005055397,0.0001066476,4.836347e-7,0.0001475409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006526233,"threshold_uncertainty_score":0.01297647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03581508161218713,"score_gpt":0.3739357749443433,"score_spread":0.3381206933321562,"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."}}