{"id":"W2996790920","doi":"10.1016/j.envpol.2019.113878","title":"Arsenic, chromium, and other elements of concern in fish from remote boreal lakes and rivers: Drivers of variation and implications for subsistence consumption","year":2019,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Ministry of Energy, Northern Development and Mines; Ministry of Natural Resources and Forestry; Geological Survey of Canada; Laurentian University; Wildlife Conservation Society Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Natural Resources and Forestry","keywords":"Bioaccumulation; Trophic level; Fish migration; Mercury (programming language); δ15N; Environmental chemistry; Ecology; Arsenic; Environmental science; Biomagnification; δ13C; Food chain; Isotopes of nitrogen; Stable isotope ratio; Chemistry; Biology; Nitrogen","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003452566,0.0001824576,0.0002008386,0.0006932106,0.0005785614,0.0006420451,0.000277681,0.0003185372,0.0009045554],"category_scores_gemma":[0.0005480779,0.0002078256,0.0003426666,0.001117753,0.0005037762,0.0003232854,0.0004482049,0.0002816912,0.0001002835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005562092,"about_ca_system_score_gemma":0.0003545111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07333683,"about_ca_topic_score_gemma":0.1376483,"domain_scores_codex":[0.9996895,0.00005322816,0.00002277175,0.0001262372,0.00004946018,0.00005890724],"domain_scores_gemma":[0.9995912,0.00006714611,0.0001544423,0.00002933279,0.00009928464,0.00005865856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000194537,0.00002947738,0.9928629,0.00001082748,0.00007929134,0.00003515138,0.0008920413,0.00005671936,0.004019587,0.00004323945,0.00004921992,0.001726908],"study_design_scores_gemma":[9.627827e-7,0.00002268079,0.9991024,0.000001400008,0.00001002514,0.00003374754,0.0006268045,0.00005304567,0.00007774058,0.0000165996,0.00005250413,0.000002155715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996938,0.00003312419,0.00003686678,0.00001025263,8.444129e-7,0.000001272057,0.00007327563,0.000001195246,0.0001494281],"genre_scores_gemma":[0.999621,0.00002693066,0.00005481358,0.00000816489,0.000001196142,0.000001861463,0.0000910766,0.000001679021,0.0001933112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07333683,"threshold_uncertainty_score":0.14582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959358663235032,"score_gpt":0.2507260998548391,"score_spread":0.2311325132224887,"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."}}