{"id":"W2086038082","doi":"10.1002/tox.20329","title":"Multigeneration assessment of nonylphenol and endosulfan using a model Australian freshwater fish, <i>Melanotaenia fluviatilis</i>","year":2008,"lang":"en","type":"article","venue":"Environmental Toxicology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Endosulfan; Biology; Nonylphenol; Gonadosomatic Index; Ecotoxicology; Toxicology; Reproductive toxicity; Freshwater fish; Bioconcentration; Heptachlor; Animal science; Methoxychlor; Pesticide; Toxicity; Bioaccumulation; Ecology; Fish <Actinopterygii>; Fishery; Population; Internal medicine; Fecundity; Organochlorine pesticide","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":[0.0001684523,0.0003025972,0.0001802633,0.000175828,0.0002619592,0.000174257,0.0002296963,0.0003447536,0.0005410449],"category_scores_gemma":[0.0001742972,0.0001751403,0.0003026495,0.0001037212,0.0001828578,0.0001683815,0.0003599901,0.0002378044,0.0001024061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006686252,"about_ca_system_score_gemma":0.0002915518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01123716,"about_ca_topic_score_gemma":0.02200762,"domain_scores_codex":[0.9998995,0.00001678455,0.000006159481,0.00002693026,0.00003601691,0.0000145387],"domain_scores_gemma":[0.9998367,0.00001632274,0.00005370032,0.00001448552,0.00005381577,0.00002483962],"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":[0.0003767011,0.0001120471,0.02430192,0.00005876827,0.00003438164,0.0001576375,0.0001960823,0.0003525563,0.9698626,0.00004631862,0.00003863428,0.004462484],"study_design_scores_gemma":[0.00003077307,0.007117158,0.4234725,0.000008213397,0.0001659847,0.0003729314,0.0004149074,0.002427203,0.5641361,0.00009908244,0.001728247,0.00002684405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999302,0.00006692266,0.0003183452,0.000009332625,0.000001611599,0.000012381,0.00004472693,0.000004033182,0.0002404933],"genre_scores_gemma":[0.9959289,0.0001833517,0.001060458,0.00003003078,0.000001346432,0.00003873011,0.0001962785,0.000003496597,0.002557453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01123716,"threshold_uncertainty_score":0.02234352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086914946268208,"score_gpt":0.3181172827651579,"score_spread":0.2972481333024758,"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."}}