{"id":"W7133032361","doi":"","title":"Genetic Determinants of Micronutrient Metabolism and Premenstrual Symptoms","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Micronutrient; Ascorbic acid; Luteal phase; Menstrual cycle; Appetite; Odds ratio; Vitamin; Vitamin C","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002898951,0.0002799813,0.0002130338,0.0004960175,0.0004093407,0.0003338356,0.0002397852,0.000307395,0.003301666],"category_scores_gemma":[0.001199435,0.0001490599,0.0002495024,0.000792008,0.0003183114,0.00008812232,0.0002208029,0.0002306223,0.0001484841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005358434,"about_ca_system_score_gemma":0.0004582078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05344123,"about_ca_topic_score_gemma":0.05949446,"domain_scores_codex":[0.9997907,0.00004100503,0.00001764779,0.00006313434,0.00004620584,0.00004132301],"domain_scores_gemma":[0.9994062,0.0001540541,0.0002566962,0.00003368066,0.00005217244,0.00009708382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001529043,0.000009877353,0.9964566,0.00002370118,0.000100702,0.0002504028,0.0001197712,0.00004486984,0.0009443761,0.00003564011,0.0001053918,0.001755815],"study_design_scores_gemma":[0.000003149888,0.00002046682,0.999485,0.000005629219,0.00002663091,0.0002101484,0.00003162463,0.00004062604,0.00004712316,0.00001469706,0.0001139688,9.829697e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973122,0.0009605418,0.0000972568,0.0001199874,0.000005219584,0.00001209551,0.0006992713,0.000005122139,0.0007883213],"genre_scores_gemma":[0.999109,0.0002074884,0.0001337959,0.00001530118,0.000005225708,0.000005590418,0.0002799687,0.000001576883,0.0002420239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05344123,"threshold_uncertainty_score":0.1062603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208127589720871,"score_gpt":0.3667932998347048,"score_spread":0.3447120239374961,"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."}}