{"id":"W1979988430","doi":"10.1139/f05-103","title":"Methyl mercury concentrations in macroinvertebrates and fish from burned and undisturbed lakes on the Boreal Plain","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada","keywords":"Biota; Environmental science; Methylmercury; Environmental chemistry; Mercury (programming language); Trophic level; Bioaccumulation; Aquatic ecosystem; Biomagnification; Food web; Ecology; Boreal; Hydrology (agriculture); Chemistry; Biology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003906042,0.00007580702,0.0001199837,0.00003940025,0.0003776732,0.0001779594,0.00009529615,0.00002060365,0.0003034941],"category_scores_gemma":[0.0001939298,0.00004653751,0.0000125646,0.0001445145,0.001211202,0.0003091107,0.00001268263,0.0000753573,0.000002058847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003030284,"about_ca_system_score_gemma":0.0000664083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01244796,"about_ca_topic_score_gemma":0.2429424,"domain_scores_codex":[0.999367,0.00005648132,0.0001773643,0.0001032545,0.0001338446,0.0001620509],"domain_scores_gemma":[0.9993814,0.000290047,0.00008258335,0.00004007758,0.00000450734,0.0002014328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007344996,0.000008028463,0.9606149,0.000001999991,0.00001650673,0.00001066543,0.01080297,0.00001689329,0.0004386085,0.001192703,0.007995998,0.01889344],"study_design_scores_gemma":[0.0005143678,0.0003097504,0.9491667,0.00008121858,0.00002972533,0.00003815611,0.02015747,0.002384846,0.0006673661,0.009859787,0.01656608,0.000224574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718667,0.0004502809,0.000008073089,0.02548694,0.00004640406,0.00005723341,0.00001235882,0.000001063884,0.002070956],"genre_scores_gemma":[0.9980136,0.0002030801,0.0002781441,0.001410161,0.00002890875,0.000001315713,7.208993e-7,0.000001749817,0.00006234785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2304945,"threshold_uncertainty_score":0.9941282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076664402701953,"score_gpt":0.2322065840658868,"score_spread":0.2114399400388672,"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."}}