{"id":"W4409088494","doi":"10.7554/elife.99538.2.sa0","title":"Author response: Menopausal hormone therapy and the female brain: leveraging neuroimaging and prescription registry data from the UK Biobank cohort","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"","keywords":"Biobank; Neuroimaging; Cohort; Medical prescription; Hormone therapy; Medicine; Internal medicine; Psychiatry; Bioinformatics; Pharmacology; Biology; Breast cancer; Cancer","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":[0.00491982,0.0005605916,0.001044656,0.0006834724,0.0009819476,0.001302105,0.001143793,0.007247463,0.06446438],"category_scores_gemma":[0.04520054,0.000369247,0.001009334,0.0007255538,0.0006749996,0.001643925,0.001264416,0.003496655,0.02181229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177143,"about_ca_system_score_gemma":0.002661771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003858835,"about_ca_topic_score_gemma":0.004978153,"domain_scores_codex":[0.9967122,0.001383344,0.0004970995,0.0004910168,0.0005961816,0.000320067],"domain_scores_gemma":[0.9858139,0.007593567,0.001168083,0.0005747254,0.00393057,0.0009191884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000187009,0.00001050023,0.002016231,0.0003604563,0.00002945053,0.00006116409,0.00005731386,0.00002338996,0.00002554893,0.0001843511,0.9925736,0.004471072],"study_design_scores_gemma":[0.001258467,0.0002827835,0.0245961,0.004160494,0.0002233834,0.0006499194,0.001486473,0.0003737762,0.0003434198,0.002515742,0.9639559,0.0001535943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004025354,0.002990041,0.0004277181,0.8821229,0.08209231,0.000370811,0.01589588,0.0002953621,0.01177956],"genre_scores_gemma":[0.02515963,0.003224955,0.000568936,0.8817424,0.03773082,0.001484773,0.005084471,0.0002316301,0.04477238],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06446438,"threshold_uncertainty_score":0.2156549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04359960494714882,"score_gpt":0.3173005023140234,"score_spread":0.2737008973668746,"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."}}