{"id":"W2587759939","doi":"","title":"Risk factors for breast cancer in postmenopausal Caucasian and Chinese women.","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology and Prevention Biomarkers","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Medicine; Breast cancer; Menarche; Incidence (geometry); Anthropometry; Epidemiology; Ethnic group; Hormone replacement therapy (female-to-male); Residence; Risk factors for breast cancer; Menopause; Cancer; Gynecology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007589116,0.0002196296,0.0005556341,0.0001515796,0.0001147161,0.000006042425,0.00003687206,0.0002067702,0.0002836217],"category_scores_gemma":[0.0001103301,0.0001667235,0.00007976213,0.0001479082,0.0002135018,0.00008580842,0.00002263248,0.0001583832,5.358731e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200339,"about_ca_system_score_gemma":0.00009890134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040683,"about_ca_topic_score_gemma":0.003912709,"domain_scores_codex":[0.9984846,0.0001854245,0.0004298514,0.0004276052,0.00004845531,0.0004240879],"domain_scores_gemma":[0.9990627,0.0003931664,0.0002136145,0.0001256428,0.00003711728,0.0001677719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009223697,0.00004075311,0.9688798,0.0001178348,0.0001625343,0.000001991201,0.0001955618,0.00001640829,0.000232318,0.00008912785,0.001125418,0.02821586],"study_design_scores_gemma":[0.002116771,0.0002078349,0.9893475,0.00009525399,0.00009966062,0.00002000899,0.0002020311,0.0001857006,0.00001093132,0.005573366,0.001967889,0.0001730338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849383,0.0102265,0.0001715866,0.002762001,0.0004066604,0.0005985652,0.0008029625,0.00002755638,0.00006587159],"genre_scores_gemma":[0.9943987,0.004016771,0.0001633467,0.0002750733,0.0002157849,0.0003248226,0.00007044416,0.00001991133,0.0005152002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02804283,"threshold_uncertainty_score":0.996183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030777870828729,"score_gpt":0.3536793604100148,"score_spread":0.3333715817017275,"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."}}