{"id":"W2800773767","doi":"10.1002/etc.4156","title":"Accumulation and sublethal effects of triclosan and its transformation product methyl-triclosan in the earthworm <i>Eisenia andrei</i> exposed to environmental concentrations in an artificial soil","year":2018,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Sherbrooke; GDG Environnement; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Triclosan; Bioaccumulation; Earthworm; Biosolids; Eisenia andrei; Eisenia fetida; Environmental chemistry; Genotoxicity; Dry weight; Soil contamination; Biology; Chemistry; Toxicology; Toxicity; Contamination; Ecology; Botany; Environmental science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001478183,0.0003702519,0.0002866419,0.0001975021,0.0001158127,0.0003110746,0.0001676144,0.0003259538,0.000504587],"category_scores_gemma":[0.0001489479,0.0001596264,0.0002224526,0.0001649367,0.0002001779,0.0001403797,0.0002307231,0.0003170037,0.0001375309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002590496,"about_ca_system_score_gemma":0.0001851851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00222615,"about_ca_topic_score_gemma":0.002922266,"domain_scores_codex":[0.9998367,0.00002518252,0.00001828874,0.00004484374,0.00003990859,0.00003506568],"domain_scores_gemma":[0.9998292,0.00002755123,0.00005802702,0.00001579266,0.0000374652,0.00003203994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009215025,0.00001486536,0.0006489852,0.00002200405,0.000006917612,0.00003179735,0.00001440909,0.00005232368,0.9986898,0.000009464411,0.000007655506,0.0004095279],"study_design_scores_gemma":[0.000008656533,0.001388274,0.02165235,0.000009105453,0.00002991654,0.00006799521,0.00008200615,0.0005934942,0.9755205,0.00001662723,0.0006225377,0.000008680574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989015,0.0003104003,0.0002264017,0.00002082933,0.000004826523,0.000007939134,0.000166774,0.000009775169,0.0003515403],"genre_scores_gemma":[0.9972772,0.0003010376,0.0005022538,0.00002486262,0.000003196211,0.00001372845,0.0003534375,0.000004471263,0.001519779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00222615,"threshold_uncertainty_score":0.00442642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368562019108108,"score_gpt":0.2813059758547934,"score_spread":0.2576203556637123,"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."}}