{"id":"W2130090303","doi":"10.1002/etc.2505","title":"Bioaccumulation of triclosan and triclocarban in plants grown in soils amended with municipal dewatered biosolids","year":2013,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Ministry of Education, India; Ministry of Earth Sciences","keywords":"Biosolids; Triclosan; Triclocarban; Dry weight; Bioaccumulation; Chemistry; Horticulture; Pepper; Shoot; Phytotoxicity; Food science; Animal science; Environmental chemistry; Biology; Environmental engineering; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001740049,0.0004538525,0.0004100507,0.0003620576,0.0002331101,0.0003938746,0.0002801493,0.0003575726,0.0004126258],"category_scores_gemma":[0.000209198,0.0003110912,0.0002247766,0.0003091237,0.0002508017,0.0002647137,0.0002473574,0.000471728,0.0001466893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007586238,"about_ca_system_score_gemma":0.0004216949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008935809,"about_ca_topic_score_gemma":0.009321894,"domain_scores_codex":[0.9998304,0.00001938803,0.00001462163,0.00005894055,0.00004465738,0.00003197481],"domain_scores_gemma":[0.9997039,0.00004176177,0.00008241404,0.00001900257,0.00007994434,0.00007281695],"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":[0.00007278203,0.00001151284,0.0009290706,0.00002392648,0.000006132641,0.00003189132,0.000033867,0.00003173219,0.9985166,0.00001017174,0.000003082586,0.0003291353],"study_design_scores_gemma":[0.000027628,0.001878708,0.1402589,0.00002855469,0.00007595574,0.000273696,0.0005756157,0.001780046,0.8536963,0.00007427006,0.001295658,0.00003466243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992653,0.0001486934,0.0002103705,0.0000134386,0.000003479601,0.00000817055,0.0001408354,0.00001099988,0.0001987706],"genre_scores_gemma":[0.9971169,0.0002506775,0.000870677,0.00003056351,0.000003036437,0.0000254565,0.0004968189,0.00001136404,0.001194403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008935809,"threshold_uncertainty_score":0.01776761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366742880644445,"score_gpt":0.2365902025926354,"score_spread":0.2229227737861909,"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."}}