{"id":"W2766394108","doi":"10.1007/s10552-017-0971-2","title":"Menstrual cycle characteristics and steroid hormone, prolactin, and growth factor levels in premenopausal women","year":2017,"lang":"en","type":"article","venue":"Cancer Causes & Control","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Institutes of Health; National Cancer Institute; National Institute for Health and Care Research","keywords":"Menstrual cycle; Estrone; Follicular phase; Endocrinology; Luteal phase; Internal medicine; Sex hormone-binding globulin; Prolactin; Testosterone (patch); Hormone; Sex steroid; Androstenedione; Menarche; Estrogen; Medicine; Steroid; 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":[0.0001903378,0.0001216437,0.0002016632,0.0006958264,0.0003984844,0.0003592813,0.0001428147,0.000332806,0.001758276],"category_scores_gemma":[0.001331588,0.0002396562,0.0002466534,0.0009629509,0.000202193,0.0003056889,0.0001861278,0.0003123545,0.0001977401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002875852,"about_ca_system_score_gemma":0.0003015539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009106341,"about_ca_topic_score_gemma":0.01313091,"domain_scores_codex":[0.9999083,0.0000249308,0.000009569489,0.00001482684,0.00001350614,0.00002889275],"domain_scores_gemma":[0.9995309,0.0001329424,0.0001544004,0.00002273739,0.00002781601,0.0001311851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006036743,0.00006196149,0.9969766,0.000009350631,0.00004183789,0.0001400098,0.0001024641,0.00003006816,0.0004369834,0.0000168983,0.00006940272,0.001510758],"study_design_scores_gemma":[0.000006319759,0.00008297202,0.9994442,0.000002524867,0.00001295336,0.00009570856,0.0001508594,0.00004173771,0.00002518814,0.00001036582,0.0001253463,0.000001936545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985241,0.0006258223,0.00001624643,0.00003456666,0.000007035856,0.000006463586,0.0002597526,0.000001798262,0.0005242325],"genre_scores_gemma":[0.9991702,0.0002580601,0.00002536884,0.00003108709,0.00001093193,0.000005861459,0.0001696714,0.000001543565,0.0003272938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009106341,"threshold_uncertainty_score":0.01810664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933287365736525,"score_gpt":0.3184300229488585,"score_spread":0.2890971492914932,"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."}}