{"id":"W2299124533","doi":"10.1111/cen.12984","title":"Antimüllerian hormone, antral follicle count and ovarian volume predict menstrual cycle length in healthy women","year":2015,"lang":"en","type":"article","venue":"Clinical Endocrinology","topic":"Ovarian function and disorders","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Medical Research Council","keywords":"Anti-Müllerian hormone; Menstrual cycle; Antral follicle; Medicine; Internal medicine; Hormone; Ovarian reserve; Endocrinology; Ovarian follicle; Sex hormone-binding globulin; Physiology; Gynecology; Biology; Infertility; Pregnancy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005642848,0.0001874183,0.0006432415,0.0001453304,0.00005462631,0.0000173008,0.00009838358,0.0002267176,0.0001944037],"category_scores_gemma":[0.0006987384,0.0001736604,0.00007229755,0.0002050931,0.000419039,0.00009846168,0.00009863033,0.0005299335,0.0001479243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124452,"about_ca_system_score_gemma":0.0003899222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002041257,"about_ca_topic_score_gemma":0.00005304408,"domain_scores_codex":[0.9975439,0.0002093991,0.0007565498,0.0005263753,0.0001882699,0.0007755334],"domain_scores_gemma":[0.9986055,0.0001463712,0.0001096326,0.0003472758,0.00007273947,0.0007184934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01113698,0.001664917,0.9068629,0.00004525776,0.0002012588,0.000652371,0.0009826313,0.00002053349,0.00004043157,0.00483516,0.02324447,0.05031313],"study_design_scores_gemma":[0.02895992,0.007261088,0.857085,0.00001332301,0.0000399052,0.0004083481,0.00188168,0.003009448,0.000002679719,0.001144329,0.09995147,0.0002427366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804837,0.0005805643,0.0001436121,0.009088054,0.0009322994,0.0003794832,0.00001471882,0.0001296317,0.008247923],"genre_scores_gemma":[0.993411,0.0006396382,0.0004966854,0.004539654,0.0003053017,0.00003185045,0.00001783919,0.00002479019,0.0005332641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.076707,"threshold_uncertainty_score":0.7081665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04412506580616137,"score_gpt":0.3387501837215582,"score_spread":0.2946251179153968,"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."}}