{"id":"W2141762530","doi":"10.1016/j.envpol.2004.07.020","title":"Mercury transfer from fish carcasses to scavengers in boreal lakes: the use of stable isotopes of mercury","year":2004,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Trent University; Université de Montréal; Fisheries and Oceans Canada; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Institut National de Recherche et de Sécurité; Canada Foundation for Innovation; V Foundation for Cancer Research","keywords":"Methylmercury; Mercury (programming language); Trophic level; Environmental chemistry; Food chain; Predatory fish; Trout; Biomagnification; Invertebrate; Pollutant; Fish <Actinopterygii>; Fishery; Environmental science; Chemistry; Ecology; Biology; Bioaccumulation","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":[0.0003217349,0.0003350724,0.0002583353,0.0005965715,0.001495021,0.0007161038,0.0005052521,0.0005795963,0.0007332367],"category_scores_gemma":[0.0005011487,0.0003939542,0.0002106437,0.0003175539,0.0009017804,0.00068311,0.0004568578,0.0004140348,0.0001262147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000817872,"about_ca_system_score_gemma":0.0006584853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0666047,"about_ca_topic_score_gemma":0.1045288,"domain_scores_codex":[0.9998493,0.00002814411,0.000005773896,0.00005861246,0.00002830003,0.00002988962],"domain_scores_gemma":[0.9997517,0.00004063529,0.00008186266,0.00001420697,0.0000689583,0.00004249288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003905484,0.0001919948,0.5612078,0.0001548346,0.0002528601,0.0002846946,0.006268141,0.0004523431,0.4091303,0.0003006395,0.0002362474,0.01761465],"study_design_scores_gemma":[0.00002919645,0.0006096936,0.9709486,0.00001239397,0.0001165505,0.0002303331,0.002688421,0.0007462742,0.02385757,0.00008999558,0.0006535936,0.00001731929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999605,0.00005138532,0.00008970095,0.0000110679,0.000001583548,0.000002182268,0.00001726585,0.000001899435,0.000219979],"genre_scores_gemma":[0.9980652,0.0001128314,0.0004884226,0.00002651941,0.000004052256,0.00001102215,0.00006183323,0.00000525111,0.0012249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0666047,"threshold_uncertainty_score":0.1324341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471306634964241,"score_gpt":0.2316838612057342,"score_spread":0.2069707948560918,"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."}}