{"id":"W4365815713","doi":"10.1007/s11356-023-26845-1","title":"In vitro assessment of the genotoxicity and immunotoxicity of treated and untreated municipal effluents and receiving waters in freshwater organisms","year":2023,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Redeemer University; EVERSANA (Canada); Institut National de la Recherche Scientifique; Environment and Climate Change Canada","funders":"Ministère de l’Environnement, de la Protection de la nature et des Parcs; Environment and Climate Change Canada; McMaster University","keywords":"Genotoxicity; Effluent; Rainbow trout; Biology; Ecotoxicology; Sewage; Population; Wastewater; Bioassay; Pollution; Sewage treatment; Toxicology; Environmental science; Ecology; Toxicity; Fishery; Environmental engineering; Chemistry; Fish <Actinopterygii>; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002039808,0.0001296255,0.00019786,0.0002348112,0.0003922738,0.00002034571,0.0002174853,0.0001145948,0.0001840531],"category_scores_gemma":[0.00005354748,0.00009812061,0.00001376029,0.000847682,0.005378038,0.000298516,0.001257801,0.0002821612,0.000005745628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003388959,"about_ca_system_score_gemma":0.00001333916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008841,"about_ca_topic_score_gemma":0.0003865714,"domain_scores_codex":[0.997964,0.0003216354,0.0002774679,0.0004441926,0.0004999532,0.0004927023],"domain_scores_gemma":[0.999536,0.00009991849,0.00006355876,0.0001913005,0.000002017867,0.0001071563],"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":[0.00002650419,0.00006603597,0.3890749,0.000006810157,0.000002287615,0.000003598781,0.0006920605,0.00004390286,0.6095972,0.0000050309,0.000005161442,0.0004765551],"study_design_scores_gemma":[0.0004819891,0.00009596477,0.6884817,0.00001252962,0.000002568174,0.000005823936,0.000455758,0.00109965,0.309166,0.0001000068,0.00003218411,0.00006587203],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998924,0.000042255,4.345926e-7,0.0003514432,0.00002961405,0.0004586888,0.00002605205,0.00000462378,0.0001629011],"genre_scores_gemma":[0.9989558,0.0007049276,0.00006143019,0.00006786578,0.000002931507,0.00002344811,0.000002611259,0.000006855934,0.0001740654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3004312,"threshold_uncertainty_score":0.9973288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061731078361588,"score_gpt":0.310329580476542,"score_spread":0.2897122696929261,"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."}}