{"id":"W3121803206","doi":"10.20944/preprints201901.0085.v1","title":"Lowered Plasma Steady-State Levels of Progesterone Combined with Declining Progesterone Levels During the Luteal Phase Predict Peri-Menstrual Syndrome and Its Major Subdomains","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Faculty of Medicine, Chulalongkorn University; Chulalongkorn University","keywords":"Menstrual cycle; Luteal phase; Medicine; Endocrinology; Internal medicine; Corpus luteum; Amenorrhea; Hormone; Physiology; Pregnancy; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001363728,0.0009836457,0.001913252,0.0003200909,0.0002812526,0.00004608793,0.0006079054,0.0005544457,0.000347407],"category_scores_gemma":[0.0002759347,0.0007450845,0.0002039655,0.0002609268,0.0005089446,0.0002236146,0.00139496,0.001778021,0.0001201041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002356748,"about_ca_system_score_gemma":0.001270561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006915059,"about_ca_topic_score_gemma":0.00004964629,"domain_scores_codex":[0.9937868,0.000360689,0.001759873,0.001745652,0.001149062,0.001197997],"domain_scores_gemma":[0.9954836,0.0002655396,0.001288324,0.001811914,0.0003978918,0.000752776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01344996,0.001742063,0.9453256,0.01586568,0.001483026,0.0005177227,0.007741548,0.0002570152,0.01256577,0.00007255208,0.000007306792,0.00097183],"study_design_scores_gemma":[0.02894376,0.003099806,0.9396446,0.004059354,0.0006290613,0.001426439,0.001313868,0.001017294,0.01881904,0.00008425704,0.00005840781,0.0009041188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896333,0.0002996304,0.00005669638,0.0006063842,0.0004428031,0.00769162,0.0005698572,0.0002213203,0.0004783689],"genre_scores_gemma":[0.9967425,0.00008257955,0.0003594842,0.0001464638,0.0000771135,0.0005275318,0.0001074804,0.0001704314,0.001786361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0154938,"threshold_uncertainty_score":0.9995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109401247368548,"score_gpt":0.3581697628292173,"score_spread":0.2487685154606692,"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."}}