{"id":"W4240459726","doi":"10.5194/acpd-12-20209-2012","title":"Ten-year trends of atmospheric mercury in the high Arctic compared to Canadian sub-Arctic and mid-latitude sites","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Norsk Polarinstitutt; Government of Canada","keywords":"Arctic; Mercury (programming language); Environmental science; Latitude; Climatology; Temperate climate; The arctic; Climate change; Physical geography; Atmospheric sciences; Geography; Oceanography; Geology; Ecology","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":[0.0002882853,0.0002387342,0.0002271815,0.001684629,0.001325338,0.0006814711,0.0004560972,0.0001580269,0.000776148],"category_scores_gemma":[0.0004354311,0.0001348191,0.0002592059,0.002746034,0.0002725974,0.0001626391,0.0003760334,0.000267705,0.00015713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005054698,"about_ca_system_score_gemma":0.005240651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9657103,"about_ca_topic_score_gemma":0.988958,"domain_scores_codex":[0.9997339,0.00001351004,0.00001350736,0.00005872447,0.00009891971,0.00008150629],"domain_scores_gemma":[0.9986344,0.00004324707,0.0001471534,0.00002994774,0.0009783849,0.0001668447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001173515,0.0000129729,0.9897034,0.00004468665,0.00009106814,0.00007020168,0.0005419943,0.0002344582,0.00240699,0.00007162487,0.0007100952,0.005995084],"study_design_scores_gemma":[8.738128e-7,0.000006646365,0.9986951,0.000003834904,0.00001403411,0.00001861397,0.0002829526,0.0001326989,0.0001852374,0.000003082466,0.0006542076,0.000002763961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939174,0.0003121875,0.0001206592,0.0000370581,0.000006387108,0.000006957263,0.003870403,0.00001493143,0.001714117],"genre_scores_gemma":[0.9935858,0.0003485933,0.0003504603,0.00002108925,0.000003903825,0.00000957017,0.004243966,0.000005323783,0.001431256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03428966,"threshold_uncertainty_score":0.06898314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437567062312998,"score_gpt":0.2592088588867175,"score_spread":0.2348331882635875,"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."}}