{"id":"W4408743449","doi":"10.1093/inteam/vjaf039","title":"Contaminants in the Richelieu River (Quebec, Canada) and toxicity to early life stage river (<i>Moxostoma carinatum</i>) and copper redhorse (<i>Moxostoma hubbsi</i>)","year":2025,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministère des Ressources naturelles et des Forêts; McGill University; University of Calgary; Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Alberta Energy; Ste. Anne's Hospital","funders":"","keywords":"Tributary; Pesticide; Environmental science; Bioaccumulation; Fishery; Ecology; Biology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000448191,0.0004720581,0.0004021037,0.0001434634,0.0004281681,0.00009017932,0.000369159,0.0001897886,0.0004055429],"category_scores_gemma":[0.000009849135,0.0003850422,0.00004079506,0.0003041646,0.0009392874,0.0002733392,0.001119388,0.0004474334,0.00003156946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009898754,"about_ca_system_score_gemma":0.00003025979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09842897,"about_ca_topic_score_gemma":0.424467,"domain_scores_codex":[0.997314,0.0002647491,0.0004476338,0.0009093349,0.0004279283,0.0006363834],"domain_scores_gemma":[0.9991252,0.0001223686,0.0001063037,0.000391011,0.00000205834,0.0002530616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002226411,0.0007879808,0.9541233,0.00005863045,0.0001893007,0.0003915838,0.001315877,0.0001502141,0.009080136,0.0008188674,0.01679077,0.01607074],"study_design_scores_gemma":[0.001310944,0.0002441498,0.965853,0.00003513661,0.0000830148,0.000008570083,0.002118869,0.000169359,0.0007479503,0.0001443891,0.02888581,0.0003988422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870535,0.0001741445,0.0001063075,0.001652956,0.000159386,0.001403411,0.00005091355,0.00002491208,0.00937446],"genre_scores_gemma":[0.9818875,0.0007929854,0.0005559604,0.007910916,0.00001039432,0.0002492738,0.0000232633,0.00002188866,0.008547835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.326038,"threshold_uncertainty_score":0.9998602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004875679400386162,"score_gpt":0.2225923975655767,"score_spread":0.2177167181651905,"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."}}