{"id":"W3087897078","doi":"10.1016/j.chemosphere.2020.128360","title":"Methylmercury biomagnification in coastal aquatic food webs from western Patagonia and western Antarctic Peninsula","year":2020,"lang":"en","type":"article","venue":"Chemosphere","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Acadia University; McMaster University","funders":"Institut chilien de l'Antarctique; Fondo Nacional de Desarrollo Científico y Tecnológico; Universidade Federal do Rio de Janeiro; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Ministerio de Economía, Fomento y Turismo, Chile; Natural Sciences and Engineering Research Council of Canada","keywords":"Biomagnification; Methylmercury; Peninsula; Environmental science; Aquatic ecosystem; Kola peninsula; Ecology; Oceanography; Aquatic environment; Environmental protection; Food chain; Environmental chemistry; Geography; Biology; Chemistry; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007861968,0.00016826,0.0002138186,0.000006027408,0.00006319168,0.00003643018,0.0001339177,0.00005892711,0.0006626929],"category_scores_gemma":[0.00006197519,0.0001577416,0.00002959918,0.0002046837,0.000147158,0.0002793269,0.0001716422,0.0001116034,0.0004710325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003856716,"about_ca_system_score_gemma":0.00001061378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005189652,"about_ca_topic_score_gemma":0.001549059,"domain_scores_codex":[0.9989412,0.00004446828,0.0002429496,0.0003620215,0.0002040846,0.0002052976],"domain_scores_gemma":[0.9995135,0.00007045818,0.000086764,0.0001676091,0.000004700129,0.0001569615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002321513,0.00004109097,0.9605581,0.00002160924,0.00001735149,0.000005645873,0.004562471,0.000006099334,0.0280549,0.000001384028,0.0004730201,0.006235156],"study_design_scores_gemma":[0.001132251,0.0001869857,0.9699459,0.00003318646,0.0000421974,0.000004516931,0.002089477,0.0008166799,0.02115951,0.0002737179,0.003968622,0.0003469744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963955,0.0003489614,0.0002340411,0.002217806,0.00004720001,0.0002092822,0.0000623634,0.00004064318,0.0004441873],"genre_scores_gemma":[0.998379,0.00008289751,0.000581575,0.000724167,0.00004139114,0.00001747368,0.00004076524,0.00001630141,0.0001164178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009387821,"threshold_uncertainty_score":0.7256022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745902556427168,"score_gpt":0.2483674478057595,"score_spread":0.2209084222414878,"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."}}