{"id":"W2566676006","doi":"10.22606/epp.2016.11001","title":"Neurotoxicological Effects of Municipal Effluents in Fathead Minnow Pimephale Promelas","year":2016,"lang":"en","type":"article","venue":"Environmental Pollution and Protection","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Minnow; Vitellogenin; Pimephales promelas; Effluent; Acetylcholinesterase; Aché; Biology; Pollutant; Toxicology; Neurotoxicity; Nonylphenol; Environmental chemistry; Internal medicine; Lipid peroxidation; Endocrinology; Toxicity; Chemistry; Fish <Actinopterygii>; Ecology; Biochemistry; Fishery; Oxidative stress; Enzyme; Environmental science; Medicine; Environmental engineering","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":[0.00005019492,0.0001997611,0.0001158643,0.0001661338,0.0002191464,0.0001403998,0.00007250074,0.0002479597,0.0006209521],"category_scores_gemma":[0.00008406663,0.00006962116,0.0001832165,0.000103348,0.000123497,0.0001149518,0.0001422002,0.0001938156,0.00006614764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984921,"about_ca_system_score_gemma":0.0001798539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231823,"about_ca_topic_score_gemma":0.00444157,"domain_scores_codex":[0.9999639,0.000004101689,0.000003649885,0.000008714093,0.00001064993,0.000008963509],"domain_scores_gemma":[0.9999473,0.000003578408,0.00002071771,0.000003715803,0.00001374444,0.0000109641],"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":[0.0004989217,0.0001228782,0.01585354,0.0001049334,0.00003060813,0.0002519742,0.0000951409,0.0001478422,0.9777143,0.00004334721,0.00005321039,0.005083183],"study_design_scores_gemma":[0.00002863726,0.006459475,0.3837598,0.00003233596,0.00013124,0.0006890603,0.0005811063,0.0004824681,0.6054743,0.0001605312,0.002185135,0.00001586357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994879,0.0001667408,0.00006281821,0.00001363011,0.000002658256,0.00000318525,0.00005185986,0.00000317311,0.0002081689],"genre_scores_gemma":[0.99847,0.0003221075,0.0001693106,0.00002645162,0.000002345331,0.000007402847,0.00008250053,0.000001116429,0.0009186724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00231823,"threshold_uncertainty_score":0.004609406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00850541874624572,"score_gpt":0.2170304235527047,"score_spread":0.208525004806459,"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."}}