{"id":"W2076463675","doi":"10.3402/tellusb.v56i5.16458","title":"The Arctic: a sink for mercury","year":2004,"lang":"en","type":"article","venue":"Tellus B","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Environment and Climate Change Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Mercury (programming language); Arctic; Troposphere; Ozone depletion; Environmental chemistry; Halogen; Sink (geography); Ozone; Snow; Chemistry; Atmospheric sciences; Environmental science; Meteorology; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002205563,0.0003393987,0.0003522797,0.0004162336,0.0009043037,0.001204198,0.000251816,0.0004671612,0.001941887],"category_scores_gemma":[0.0003482804,0.0001785196,0.0003135797,0.0007647105,0.0001489227,0.0006336799,0.0008461411,0.0002763217,0.0009176002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007837893,"about_ca_system_score_gemma":0.001305505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03476113,"about_ca_topic_score_gemma":0.03263151,"domain_scores_codex":[0.9998819,0.0000181984,0.000003293565,0.00002282987,0.00004255122,0.00003123191],"domain_scores_gemma":[0.9998844,0.0000159257,0.00001755559,0.000008747229,0.00004208427,0.00003131589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001329831,0.0002058676,0.4207431,0.0007512823,0.0008170638,0.003498193,0.001907602,0.1072481,0.1780799,0.04929112,0.02567481,0.2104532],"study_design_scores_gemma":[0.0001129812,0.0005712398,0.3636743,0.0003767669,0.001151197,0.004317432,0.007219502,0.2419676,0.04944732,0.04638916,0.2845418,0.0002306375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315548,0.00298268,0.01583401,0.003134541,0.000390753,0.0000203069,0.002118892,0.0007027992,0.04326123],"genre_scores_gemma":[0.9851633,0.002618059,0.005320748,0.0002850656,0.0001131807,0.00000826824,0.0006173304,0.00008488458,0.005789258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03476113,"threshold_uncertainty_score":0.06911761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208876092826244,"score_gpt":0.2671603618742697,"score_spread":0.2462727525916453,"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."}}