{"id":"W2521086094","doi":"10.1002/etc.3615","title":"Using sulfur stable isotopes to assess mercury bioaccumulation and biomagnification in temperate lake food webs","year":2016,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Environment and Climate Change Canada; University of New Brunswick","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biomagnification; Bioaccumulation; Environmental chemistry; Food web; Trophic level; Sulfate; Environmental science; Mercury (programming language); Stable isotope ratio; Trophic state index; Ecology; Profundal zone; Chemistry; Benthic zone; Eutrophication; Biology; Nutrient","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":[0.0004965814,0.0003057565,0.0001835382,0.001410845,0.000536132,0.0005261229,0.0002097947,0.0002018709,0.0005550624],"category_scores_gemma":[0.0005102428,0.0002373939,0.0002120167,0.0008047087,0.0003557515,0.0003307752,0.000415221,0.0001387564,0.0001033487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215774,"about_ca_system_score_gemma":0.0007833525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1172267,"about_ca_topic_score_gemma":0.2760561,"domain_scores_codex":[0.999843,0.0000240995,0.00001170304,0.00004516506,0.00004883498,0.0000271204],"domain_scores_gemma":[0.9996309,0.00005869418,0.000132239,0.00001952386,0.0001017726,0.00005677297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001006534,0.00002194533,0.9754549,0.00001705028,0.00008049831,0.00002570872,0.0001680824,0.0002412055,0.02063853,0.00002561606,0.00003189022,0.003194008],"study_design_scores_gemma":[0.000001594319,0.00002064625,0.9987388,0.000001450931,0.000007815931,0.00000902066,0.00005551305,0.0005124313,0.0006017312,0.00001421381,0.00003462167,0.000002214998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995485,0.00003428517,0.0001455161,0.000003719113,2.969761e-7,0.000005136563,0.00008379333,0.000004592352,0.0001742645],"genre_scores_gemma":[0.9989631,0.0000345343,0.0005874188,0.000009295844,5.864815e-7,0.000009780053,0.0001915803,0.000002149358,0.0002014809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1172267,"threshold_uncertainty_score":0.2330888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04212777357204319,"score_gpt":0.2786672695599781,"score_spread":0.2365394959879349,"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."}}