{"id":"W4313649364","doi":"10.1002/etc.5557","title":"Triclosan and Methyl Triclosan in Prey Fish in a Wastewater-Influenced Estuary","year":2023,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"AXYS Technologies (Canada)","funders":"","keywords":"Triclosan; Environmental chemistry; Estuary; Chemistry; Ecotoxicology; Wastewater; Toxicity; Bay; Environmental science; Ecology; Environmental engineering; Biology; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001517558,0.0002922704,0.0002547466,0.00039264,0.0005620935,0.0003775081,0.0002141134,0.0004040246,0.0005552341],"category_scores_gemma":[0.000184687,0.0002916279,0.0001925206,0.0003912255,0.0005014791,0.0001671788,0.0003269388,0.0003171037,0.0001852883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009115913,"about_ca_system_score_gemma":0.000462021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0265686,"about_ca_topic_score_gemma":0.06732893,"domain_scores_codex":[0.9998832,0.00001269454,0.000008867258,0.00004443797,0.00003534892,0.00001550148],"domain_scores_gemma":[0.9998268,0.00001870684,0.00005458665,0.000007668909,0.00005650998,0.00003575554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009464532,0.000206851,0.5787719,0.0001092346,0.00008344781,0.001020464,0.001519234,0.0004130655,0.4125846,0.00004224809,0.0001315094,0.004170859],"study_design_scores_gemma":[0.00001781097,0.001076107,0.974796,0.00000590013,0.00004911951,0.000306975,0.001362533,0.0009826774,0.02098514,0.00002710925,0.0003786211,0.00001200261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998242,0.000007766646,0.00002720424,0.000004667244,5.396146e-7,0.000001443701,0.00003711035,0.00000160787,0.00009536603],"genre_scores_gemma":[0.998336,0.00004496665,0.0002385132,0.00002938855,0.000001296209,0.000008022554,0.0001596749,0.000003479802,0.0011787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0265686,"threshold_uncertainty_score":0.05282789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283827972053487,"score_gpt":0.255933503784731,"score_spread":0.2430952240641961,"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."}}