{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003361718,0.0004444257,0.0002813506,0.0002813956,0.0002273742,0.000241116,0.0001942222,0.0003205689,0.0006735849],"category_scores_gemma":[0.000224717,0.0001479513,0.0002921266,0.0003148543,0.0002111509,0.0001073299,0.0002622733,0.0002552504,0.0001805523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000236784,"about_ca_system_score_gemma":0.0003969063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003378902,"about_ca_topic_score_gemma":0.008705494,"domain_scores_codex":[0.9996093,0.00009291834,0.00004425327,0.00006600098,0.0001321004,0.00005551239],"domain_scores_gemma":[0.9997155,0.00006328958,0.00006699352,0.00002808345,0.00009671441,0.00002936207],"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":[0.0001135799,0.00006278799,0.00285975,0.00009295974,0.00001982756,0.00003592194,0.00006815819,0.0001915721,0.9953799,0.00000946508,0.00001228964,0.001153828],"study_design_scores_gemma":[0.00001835606,0.006148193,0.05888334,0.00003134884,0.00009417132,0.0001723414,0.0002327218,0.0005731243,0.9325875,0.00003239851,0.001213881,0.00001254324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977501,0.0007636627,0.000626341,0.00001185665,0.000007749174,0.0000354091,0.0002054287,0.00000506689,0.0005943834],"genre_scores_gemma":[0.9928477,0.001618444,0.002270418,0.00005715402,0.00001071562,0.00006238552,0.0009436342,0.000006254502,0.002183242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003378902,"threshold_uncertainty_score":0.006718457,"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."}}