{"id":"W4415443478","doi":"10.1093/etojnl/vgaf265","title":"Interspecific differences in mercury and organochlorine pesticide concentrations in Arctic and boreal fishes","year":2025,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Simon Fraser University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; ArcticNet; Crown-Indigenous Relations and Northern Affairs Canada; Ocean Frontier Institute; World Health Organization","keywords":"Arctic; Pelagic zone; Trophic level; Mercury (programming language); Boreal; Crangon crangon; Interspecific competition; Food chain; Forage fish","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":[0.0002782938,0.0002101867,0.000187847,0.001072012,0.0006397671,0.0004173579,0.0002145428,0.0002037036,0.0009456029],"category_scores_gemma":[0.0005335535,0.0002142981,0.0002332726,0.0006642308,0.0004400189,0.0002171426,0.0003998354,0.0001750158,0.0001334999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009166945,"about_ca_system_score_gemma":0.0005445809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2020823,"about_ca_topic_score_gemma":0.4502005,"domain_scores_codex":[0.9997575,0.00002025144,0.00001528695,0.0001013873,0.00005942241,0.0000461497],"domain_scores_gemma":[0.9995454,0.00004694228,0.0001437377,0.00003083292,0.0001188041,0.000114272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001159563,0.00001551293,0.9871596,0.00001164785,0.00008270868,0.00004440794,0.0006636592,0.00004131199,0.009555621,0.00002994493,0.00005509266,0.002224458],"study_design_scores_gemma":[3.27692e-7,0.000006451671,0.9998004,5.158573e-7,0.000003200166,0.00001235287,0.0001067891,0.000008467325,0.00003035376,0.000001978657,0.00002820757,9.475581e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995442,0.00004583566,0.00001793869,0.000003992803,0.000001369592,0.000001485779,0.00008435768,0.000001537033,0.0002992448],"genre_scores_gemma":[0.9993994,0.00004067136,0.00006997555,0.00001004842,0.000001097005,0.000003848329,0.0001662779,0.00000162865,0.0003070181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2020823,"threshold_uncertainty_score":0.4018121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00830253749116202,"score_gpt":0.2235700994139393,"score_spread":0.2152675619227773,"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."}}