{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009845847,0.0001978751,0.000250212,0.00002982599,0.0001765144,0.000006924973,0.0001347574,0.000107289,0.0009839378],"category_scores_gemma":[0.00001052532,0.0001757045,0.00006100501,0.00004244389,0.0005284726,0.0001561889,0.0002321273,0.0001498925,0.00001559007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545582,"about_ca_system_score_gemma":0.000007875248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001165653,"about_ca_topic_score_gemma":0.00006987867,"domain_scores_codex":[0.9986974,0.00006436587,0.0003087973,0.00038478,0.0002220093,0.0003226451],"domain_scores_gemma":[0.9994998,0.00004459024,0.0001261582,0.000210473,0.000001388476,0.000117586],"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":[0.0000099975,0.0002105997,0.1226481,0.000006119611,0.00001265591,0.00001593849,0.0002400286,0.01414141,0.8618962,0.00000666836,0.0004512359,0.0003611355],"study_design_scores_gemma":[0.001830415,0.0003669251,0.1532782,0.00001311761,0.00005939646,0.0001902608,0.000108847,0.2994966,0.542007,0.0001061233,0.002026963,0.0005161228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985674,0.00001482712,0.0003662127,0.000125249,0.00005395076,0.000262129,0.00007687473,0.00001755364,0.000515789],"genre_scores_gemma":[0.9792823,0.00006346401,0.01976684,0.0002348856,0.00003402278,0.00001852783,0.00003970833,0.00002107773,0.0005391837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3198891,"threshold_uncertainty_score":0.9999293,"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."}}