{"id":"W824636173","doi":"10.1016/j.envres.2015.06.020","title":"Tea consumption in pregnancy as a predictor of pesticide exposure and adverse birth outcomes: The MIREC Study","year":2015,"lang":"en","type":"article","venue":"Environmental Research","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada; Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Health Canada; Public Health Agency of Canada; Health Research Board","keywords":"Pesticide; Pregnancy; Environmental health; Consumption (sociology); Adverse effect; Toxicology; Medicine; Obstetrics; Biology; Internal medicine; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007844676,0.0000973022,0.0001918151,0.0001003308,0.00004812229,0.000006372621,0.00008938165,0.00004878082,0.0001358947],"category_scores_gemma":[0.0003407647,0.00006139516,0.0000257159,0.00008463878,0.0003073274,0.00005702001,0.0001588028,0.0003062607,0.00009544567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000136371,"about_ca_system_score_gemma":0.00004601942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002493481,"about_ca_topic_score_gemma":0.00007389752,"domain_scores_codex":[0.9983175,0.0002840765,0.0001886056,0.0002123648,0.0007432257,0.0002541954],"domain_scores_gemma":[0.9992385,0.0002593459,0.00003196166,0.000290287,0.000007030223,0.0001728918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002575978,0.0008328938,0.9885135,0.00005074092,0.00002886887,0.00008923573,0.004417604,0.000002419072,0.001729811,0.000008135458,0.0000377656,0.004031406],"study_design_scores_gemma":[0.003598279,0.002112075,0.9863046,0.0001430137,0.00001828707,0.00001604368,0.007132654,0.00004203201,0.0004011413,0.00006796767,0.000113271,0.00005061219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968545,0.001132198,0.000001210532,0.0002127464,0.00003307264,0.001432111,0.000009573396,0.000009339898,0.0003152531],"genre_scores_gemma":[0.9984269,0.0001077432,0.00002263297,0.00002004504,0.00001869704,0.0001051664,0.000004597046,0.00001458589,0.001279628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003980794,"threshold_uncertainty_score":0.2503622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07343392529494205,"score_gpt":0.3652256276264815,"score_spread":0.2917917023315395,"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."}}