{"id":"W2962787562","doi":"10.1021/acs.est.9b03117","title":"Interactive Toxicity of Triclosan and Nano-TiO<sub>2</sub> to Green Alga <i>Eremosphaera viridis</i> in Lake Erie: A New Perspective Based on Fourier Transform Infrared Spectromicroscopy and Synchrotron-Based X-ray Fluorescence Imaging","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); Concordia University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Triclosan; Environmental chemistry; Environmental impact of pharmaceuticals and personal care products; Toxicity; Chemistry; Pollutant; Triclocarban; Chronic toxicity; Effluent; Environmental science; Environmental engineering; Organic chemistry","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":[0.00008241405,0.0002325265,0.0002583032,0.0002324821,0.0002194596,0.0003537545,0.0002494971,0.0003269036,0.0002952419],"category_scores_gemma":[0.00005780541,0.00017197,0.0002234223,0.0002238974,0.0001801338,0.0002580443,0.0003675195,0.0002213567,0.00008603043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000578737,"about_ca_system_score_gemma":0.0003713201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009669116,"about_ca_topic_score_gemma":0.01843133,"domain_scores_codex":[0.9998821,0.000009957211,0.00001007182,0.0000335349,0.00004179584,0.00002254562],"domain_scores_gemma":[0.9999429,0.000004282097,0.00002012079,0.000002667101,0.00002425721,0.000005836851],"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":[0.0001212442,0.00001024629,0.01140706,0.0001188923,0.00002024178,0.0001873315,0.000163071,0.0002169013,0.9846647,0.00003264442,0.00004803354,0.003009622],"study_design_scores_gemma":[0.00001239199,0.000565808,0.2328661,0.0000290287,0.0001098283,0.0004753942,0.001591103,0.003306026,0.7572421,0.0001062468,0.003666103,0.00002994069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988709,0.0002711235,0.0003250216,0.00002955541,0.000001496167,0.000004536404,0.00009753429,0.00001325682,0.000386358],"genre_scores_gemma":[0.9971882,0.0004291949,0.001071259,0.00003809668,0.00000153913,0.0000122914,0.000196333,0.000006622485,0.001056504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009669116,"threshold_uncertainty_score":0.01922572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00359044528570912,"score_gpt":0.2273197460462664,"score_spread":0.2237293007605573,"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."}}