{"id":"W2034868777","doi":"10.1111/j.1365-2486.2008.01729.x","title":"Elevated methylmercury in High Arctic<i>Daphnia</i>and the role of productivity in controlling their distribution","year":2008,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Daphnia; Zooplankton; Methylmercury; Arctic; Copepod; Environmental chemistry; Water column; Cladocera; Environmental science; Dissolved organic carbon; Ecology; Productivity; Biology; Chemistry; Bioaccumulation; Crustacean","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":[0.0001854444,0.0001374713,0.0001196095,0.0004836501,0.0004504073,0.0005506444,0.0001108633,0.0001230483,0.0005078292],"category_scores_gemma":[0.0003110784,0.0001215527,0.0000943598,0.0004900063,0.000195717,0.0001346834,0.000184281,0.0001077672,0.00009597448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095397,"about_ca_system_score_gemma":0.0005918654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2574607,"about_ca_topic_score_gemma":0.4250801,"domain_scores_codex":[0.9999152,0.000007788902,0.000004664212,0.00002447739,0.00002009029,0.0000277453],"domain_scores_gemma":[0.9996779,0.00003066709,0.0001083692,0.00001313758,0.0001151207,0.00005490983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006958658,0.00001103836,0.9716935,0.00001832449,0.00004074657,0.00003157477,0.0001635727,0.0001339411,0.02498981,0.00002946431,0.00007513742,0.002743292],"study_design_scores_gemma":[4.032554e-7,0.000005681833,0.9994843,8.497125e-7,0.000003425014,0.000009677189,0.00005669252,0.00007445193,0.0002966753,0.000002516878,0.00006463834,6.341079e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995308,0.00005280701,0.00002852588,0.000006683626,4.135543e-7,7.575574e-7,0.0001503312,0.000001597134,0.0002281932],"genre_scores_gemma":[0.9996069,0.00005001345,0.00005767096,0.00000657949,9.424375e-7,9.672843e-7,0.0001628274,6.695884e-7,0.0001133968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2574607,"threshold_uncertainty_score":0.5119241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361973327126426,"score_gpt":0.249507825853864,"score_spread":0.2258880925825998,"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."}}