{"id":"W4412658536","doi":"10.1016/j.breast.2025.104547","title":"Hormonal factors predictive of fertility in patients with breast cancer interrupting adjuvant endocrine therapy to attempt pregnancy in POSITIVE trial","year":2025,"lang":"en","type":"article","venue":"The Breast","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; ECOG-ACRIN Cancer Research Group; National Institutes of Health; Rising Tide Foundation; American College of Radiology Imaging Network; NRG Oncology; Fonds De La Recherche Scientifique - FNRS; Fondazione Umberto Veronesi; Gateway for Cancer Research; Rising Tide Foundation for Clinical Cancer Research; Schweizerische Arbeitsgemeinschaft für Klinische Krebsforschung; Breast Cancer Research Foundation","keywords":"Medicine; Ovarian reserve; Pregnancy; Anti-Müllerian hormone; Hormone; Prolactin; Follicle-stimulating hormone; Breast cancer; Gynecology; Infertility; Fertility; Obstetrics; Cancer; Internal medicine; Population; Luteinizing hormone","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":[0.002057093,0.0002093942,0.0006448046,0.0001233717,0.0001500605,0.0005118889,0.0002056502,0.0003408527,0.00111039],"category_scores_gemma":[0.004399288,0.000113802,0.0004997313,0.0002663379,0.0002831692,0.0002370447,0.0001864487,0.0006126945,0.0001080571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854295,"about_ca_system_score_gemma":0.0003630281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002698684,"about_ca_topic_score_gemma":0.0004345992,"domain_scores_codex":[0.9993744,0.0004303918,0.0000367805,0.00005319352,0.00006040955,0.00004477162],"domain_scores_gemma":[0.998306,0.0009404762,0.0004582049,0.00007319995,0.00004420426,0.0001779586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2894096,0.001597292,0.6205724,0.0007998634,0.001486107,0.0003261033,0.0001443369,0.0006464036,0.001959764,0.0002700686,0.001809988,0.08097798],"study_design_scores_gemma":[0.03874449,0.09332204,0.8470603,0.0004086902,0.003641288,0.001799746,0.0002398144,0.002631229,0.002068811,0.001087623,0.008949209,0.00004679445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930187,0.005371954,0.0001088364,0.000244449,0.00005099575,0.00009016565,0.0002230155,0.000005343791,0.000886514],"genre_scores_gemma":[0.9983909,0.0007731129,0.0001143374,0.0001282527,0.00005413071,0.00006084577,0.0002801392,0.000001556765,0.0001967637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002057093,"threshold_uncertainty_score":0.01087904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498113598616576,"score_gpt":0.2908316096341852,"score_spread":0.2758504736480195,"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."}}