{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002853697,0.0001930053,0.0005805552,0.0006631577,0.00006400735,0.000005094475,0.00009746945,0.0002475574,0.00005973779],"category_scores_gemma":[0.000545033,0.0001684084,0.0000957386,0.000808911,0.0001141033,0.0001393841,0.000064815,0.000351427,0.00002663905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008837018,"about_ca_system_score_gemma":0.0002415622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119497,"about_ca_topic_score_gemma":0.001216924,"domain_scores_codex":[0.9974313,0.0006183872,0.000568072,0.000532613,0.0001489851,0.0007005852],"domain_scores_gemma":[0.9991006,0.0002201785,0.0001321177,0.0002632787,0.00005603851,0.0002277809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001541838,0.0003285279,0.9452913,0.0001094198,0.000190889,0.00006251014,0.0003452529,0.0004207037,0.03314114,0.001373261,0.0001098232,0.01708531],"study_design_scores_gemma":[0.002250934,0.0005950192,0.9771331,0.0004820921,0.00003635756,0.00001538282,0.00006490973,0.0001050955,0.0008991514,0.01791228,0.0003481081,0.0001575915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894752,0.004688703,0.0007458874,0.003595248,0.0003009851,0.0009756709,0.000003776205,0.00003720379,0.0001773384],"genre_scores_gemma":[0.9961555,0.0005726235,0.002060959,0.0006699135,0.0001261423,0.0002676765,0.00004357024,0.00002158513,0.00008204577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03224199,"threshold_uncertainty_score":0.6867494,"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."}}