{"id":"W1999759833","doi":"10.3200/aeoh.61.5.232-238","title":"New Evidence on the Effects of Tea on Mercury Metabolism in Humans","year":2006,"lang":"en","type":"article","venue":"Archives of Environmental & Occupational Health","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Methylmercury; Mercury (programming language); Fish <Actinopterygii>; Fish consumption; Environmental chemistry; Toxicology; Chemistry; Physiology; Animal science; Bioaccumulation; Biology; Fishery","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":[],"consensus_categories":[],"category_scores_codex":[0.000200979,0.000142696,0.0002099874,0.00006507713,0.0001224073,0.000003250864,0.0001850729,0.00001978751,0.0004313725],"category_scores_gemma":[0.00006084955,0.0001038244,0.00006994601,0.00009448997,0.0003149252,0.00009825476,0.00009311572,0.0001175578,0.00006966108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007948243,"about_ca_system_score_gemma":0.0000276286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438144,"about_ca_topic_score_gemma":0.0001721051,"domain_scores_codex":[0.9985289,0.0001704931,0.0003717243,0.0002221201,0.0004732403,0.0002335082],"domain_scores_gemma":[0.9982596,0.001232664,0.0002192935,0.0002182845,6.280958e-7,0.00006953767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005650793,0.001262445,0.8244081,0.0001280508,0.00004042244,0.000002997805,0.004599315,0.001869446,0.07954727,0.01889277,0.007714109,0.06097001],"study_design_scores_gemma":[0.0003128122,0.0002803188,0.9879435,0.0001387818,0.000005326279,3.614534e-7,0.00007717463,0.0000139188,0.008103573,0.002615059,0.0004274746,0.00008170344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938155,0.0004852813,0.0001089475,0.0009128719,0.00006397974,0.0004289618,0.00003979824,0.000005748716,0.004138953],"genre_scores_gemma":[0.9979624,0.0003775118,0.0005853053,0.00065953,0.00003586275,0.0000174403,0.00001493447,0.000008674207,0.000338305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1635354,"threshold_uncertainty_score":0.4723226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830015492621342,"score_gpt":0.2913413674567664,"score_spread":0.273041212530553,"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."}}