{"id":"W2040886216","doi":"10.1139/s08-011","title":"Use of goldfish to monitor wastewater and reuse water for xenobiotics","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wastewater; Ultrafiltration (renal); Xenobiotic; Effluent; Vitellogenin; Chemistry; Filtration (mathematics); Environmental chemistry; Sewage treatment; Activated carbon; Chromatography; Biology; Environmental science; Environmental engineering; Biochemistry; Adsorption","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001217684,0.0003925113,0.000288626,0.0001892262,0.0001865156,0.000225486,0.0001558775,0.0004889827,0.0003987807],"category_scores_gemma":[0.0001923214,0.0001515005,0.0002938453,0.0001585514,0.0002335174,0.0001752748,0.0003132627,0.0001850575,0.00009406155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004466746,"about_ca_system_score_gemma":0.0003121923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004396586,"about_ca_topic_score_gemma":0.006747453,"domain_scores_codex":[0.9998618,0.00001564256,0.000009770627,0.00005424357,0.00003722531,0.00002130664],"domain_scores_gemma":[0.9998887,0.00001424207,0.00003802873,0.00001396282,0.00002836656,0.00001672981],"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":[0.0002048997,0.00001954809,0.008465116,0.00005912528,0.0000121576,0.00005403066,0.00006921417,0.0001105444,0.9887677,0.00001589658,0.00001319933,0.002208697],"study_design_scores_gemma":[0.00003605632,0.005105278,0.1360724,0.00002093369,0.00009772544,0.0004759099,0.0004050176,0.0008803564,0.8548302,0.00009179458,0.001957569,0.000026727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993348,0.0001078445,0.0003527561,0.0000118419,0.000002988123,0.000008769643,0.00003930401,0.000005195504,0.0001365285],"genre_scores_gemma":[0.9968455,0.0002178654,0.001485523,0.00003909533,0.00000174552,0.00002579835,0.0001344431,0.000003146983,0.00124682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004396586,"threshold_uncertainty_score":0.008741975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312740624170235,"score_gpt":0.1937153788451307,"score_spread":0.1805879726034283,"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."}}