{"id":"W2006524456","doi":"10.1007/bf02840207","title":"Methylmercury and human biomarkers: Questioning the evidence","year":2006,"lang":"en","type":"article","venue":"Geochemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Methylmercury; Environmental chemistry; Chemistry","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":[0.0002282991,0.00007498078,0.00005705693,0.000004482044,0.0003012973,0.00003531516,0.00008791295,0.00002960859,0.0007098331],"category_scores_gemma":[0.00006776379,0.00005347571,0.00002004076,0.00008005741,0.0002694394,0.0001077549,0.0001064324,0.00006112897,0.00004560153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002819152,"about_ca_system_score_gemma":0.000003402297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009068112,"about_ca_topic_score_gemma":0.00004078696,"domain_scores_codex":[0.9994636,0.00002034313,0.0001002227,0.0001483865,0.0001329503,0.0001345394],"domain_scores_gemma":[0.9996978,0.00007583289,0.00004326018,0.0001457155,0.000005241649,0.00003215095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000003097467,0.00001452243,0.2363739,0.00001499044,0.00001269397,0.000002894056,0.0001968777,0.0000134093,0.7251898,0.0001313165,0.03532778,0.002718659],"study_design_scores_gemma":[0.0001969339,0.00001922686,0.7322177,0.000107612,0.00004770724,0.0000414385,0.0006357314,0.00005855023,0.2453988,0.00519169,0.01576939,0.0003152236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966744,0.0008814523,0.00005147621,0.0007444791,0.00002302915,0.00004668724,0.000001713842,0.00002803926,0.03147914],"genre_scores_gemma":[0.9983515,0.00002678903,0.0001982338,0.0001006633,0.00005771855,0.00001034167,0.000003520817,0.000003443983,0.001247847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4958438,"threshold_uncertainty_score":0.7772174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802376231603258,"score_gpt":0.2742775495540278,"score_spread":0.2562537872379952,"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."}}