{"id":"W2084353387","doi":"10.1016/j.atmosenv.2007.04.033","title":"GEM fluxes and atmospheric mercury concentrations (GEM, RGM and Hgp) in the Canadian Arctic at Alert, Nunavut, Canada (February–June 2005)","year":2007,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Mercury (programming language); Snow; Environmental science; Atmospheric sciences; Arctic; Polar night; Tundra; Flux (metallurgy); Elemental mercury; Meteorology; Chemistry; Geology; Oceanography; Geography; Stratosphere","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":[0.0006126253,0.0004323011,0.0003891262,0.001424784,0.003095874,0.001189806,0.0008148483,0.0006021713,0.0009929541],"category_scores_gemma":[0.00104975,0.0003469356,0.0004294166,0.00257432,0.000623393,0.0005007464,0.0005895582,0.0005583147,0.0001616731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02903477,"about_ca_system_score_gemma":0.02521615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975595,"about_ca_topic_score_gemma":0.9990748,"domain_scores_codex":[0.99966,0.00001945106,0.00001958683,0.00005980079,0.0001519208,0.00008922501],"domain_scores_gemma":[0.9989749,0.00004893938,0.000100558,0.00001957023,0.0007112721,0.000144754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008157484,0.00008403682,0.9645876,0.00009569147,0.0002837317,0.0003877716,0.002252091,0.003472583,0.003078684,0.0004621269,0.01119099,0.01328906],"study_design_scores_gemma":[0.00001352224,0.00001324572,0.9936783,0.00001580323,0.00004488303,0.00004083811,0.001077197,0.0009754061,0.0005826649,0.00003772131,0.003501403,0.00001900462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874636,0.0006868836,0.0001622707,0.0005378208,0.00004952197,0.00001762028,0.00704926,0.00007693615,0.003956031],"genre_scores_gemma":[0.9906396,0.0004860025,0.0005681663,0.0001835315,0.00001562723,0.00001210007,0.003662251,0.00001888527,0.004413852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02903477,"threshold_uncertainty_score":0.210663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007229430282102068,"score_gpt":0.2001387217154194,"score_spread":0.1929092914333173,"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."}}