{"id":"W3024274157","doi":"10.1016/j.scitotenv.2020.139450","title":"Seasonal variation of total mercury and condition indices of Arctic charr (Salvelinus alpinus) in Northern Québec, Canada","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Philips (Canada); Makivik Corporation; University of Waterloo; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Makivik","keywords":"Salvelinus; Arctic; Fish migration; Seasonality; δ15N; δ13C; Biology; Population; Physiological condition; Ecology; Fish measurement; Animal science; Condition index; Environmental science; Stable isotope ratio; Fishery; Trout; Fish <Actinopterygii>; Demography; Habitat","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":[0.0003527403,0.0002574408,0.0002564868,0.001002065,0.001432249,0.0007384982,0.0006350672,0.0003465004,0.002584656],"category_scores_gemma":[0.0005372897,0.0001693948,0.0002571268,0.001600544,0.0005094522,0.0002226578,0.0002914531,0.0003037694,0.0003477832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01462772,"about_ca_system_score_gemma":0.007315669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937989,"about_ca_topic_score_gemma":0.9977853,"domain_scores_codex":[0.9997733,0.00002355614,0.000009404202,0.00005473615,0.00005366496,0.00008529936],"domain_scores_gemma":[0.9988098,0.00008373093,0.0001562385,0.00002941388,0.0006354711,0.000285348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003273014,0.00006416154,0.9852118,0.00002882955,0.0001470075,0.0001661461,0.001162573,0.0004339742,0.003095723,0.0001021876,0.002663785,0.006596433],"study_design_scores_gemma":[0.00000281192,0.000007710095,0.9987836,0.000004496782,0.000009043099,0.00001372786,0.0004607312,0.0001534621,0.00004752451,0.000003411709,0.0005094255,0.000003926142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954829,0.0002538447,0.00008110185,0.0001087381,0.000009979194,0.00001109249,0.001889985,0.00001780616,0.002144538],"genre_scores_gemma":[0.9951101,0.0001147669,0.0001368228,0.00005074692,0.00000345182,0.000009439656,0.0009808689,0.000007134864,0.003586722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01462772,"threshold_uncertainty_score":0.1061321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008690159286243846,"score_gpt":0.2020623053907281,"score_spread":0.1933721461044843,"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."}}