{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003354311,0.0006539164,0.001481096,0.0004664146,0.0001786689,0.00002220678,0.000186291,0.0006121314,0.0002517797],"category_scores_gemma":[0.0002671543,0.0006467012,0.0001820937,0.0004911578,0.0002445699,0.00004253923,0.00007959944,0.0004598828,0.0001091274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005845931,"about_ca_system_score_gemma":0.0008603616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002598852,"about_ca_topic_score_gemma":0.0004099802,"domain_scores_codex":[0.9961078,0.000131647,0.001246715,0.0008485575,0.0007237058,0.0009415395],"domain_scores_gemma":[0.9973769,0.0001463881,0.0008486809,0.0005939679,0.0003096958,0.0007243606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006680956,0.00108184,0.1576981,0.0510007,0.0008987435,0.0003033929,0.1374721,0.00001437488,0.01604874,0.0001678675,0.00187326,0.62676],"study_design_scores_gemma":[0.006882255,0.001538331,0.9168565,0.003416667,0.001878398,0.00007091178,0.05102465,0.0005903679,0.01480168,0.0001094377,0.001971893,0.0008589047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751882,0.01971412,0.000007550734,0.00006408439,0.002346178,0.001703443,0.00003193448,0.00005034317,0.0008941306],"genre_scores_gemma":[0.9753032,0.009108012,0.0004599793,0.0001101715,0.0002891758,0.00009292466,0.0001489849,0.0001426992,0.01434486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7591584,"threshold_uncertainty_score":0.9995984,"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."}}