{"id":"W2587187819","doi":"","title":"Determinants of breast tissue composition in young women","year":2007,"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":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Breast cancer; Menstrual cycle; Mammography; Breast development; Physiology; Follicular phase; Medicine; Hormone; Endocrinology; Prolactin; Breast tissue; Sex hormone-binding globulin; Young adult; Testosterone (patch); Internal medicine; Breast density; Cancer; Androgen","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":[0.0002524754,0.0001440356,0.000162547,0.0005416191,0.0002214945,0.000281269,0.0001460524,0.0002635176,0.002225283],"category_scores_gemma":[0.001556453,0.0001368263,0.0001645462,0.0005485088,0.000149268,0.0001599002,0.000189931,0.0001879244,0.0004646263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323831,"about_ca_system_score_gemma":0.000157696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004596732,"about_ca_topic_score_gemma":0.003629734,"domain_scores_codex":[0.9998614,0.00004144584,0.00001255164,0.00002511397,0.00002857335,0.00003089643],"domain_scores_gemma":[0.9993819,0.0001578561,0.0002190351,0.00002043783,0.00006812832,0.0001525009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000624231,0.00001080549,0.997528,0.000008816422,0.00001253721,0.0001217676,0.00005584216,0.00001292655,0.0003716827,0.00001245375,0.00007776872,0.001724905],"study_design_scores_gemma":[0.000001197133,0.00004520665,0.9994447,0.00000392919,0.000005633819,0.0002419167,0.00006370564,0.00002682641,0.00003391141,0.00001180189,0.0001203096,8.393625e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980416,0.0007204751,0.00006929389,0.00005197431,0.00000790715,0.00001076119,0.0003478433,0.000003856218,0.0007462819],"genre_scores_gemma":[0.9992792,0.0002015998,0.00007766038,0.00002569895,0.000009039014,0.000009131914,0.0002018503,0.000001700231,0.0001941731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004596732,"threshold_uncertainty_score":0.009139955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369681179569477,"score_gpt":0.3921892250808015,"score_spread":0.3584924132851067,"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."}}