{"id":"W2022195135","doi":"10.1021/es070692s","title":"Methylated Mercury Species in Canadian High Arctic Marine Surface Waters and Snowpacks","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; Manitoba Hydro; Research Manitoba","keywords":"Seawater; Mercury (programming language); Environmental chemistry; Arctic; Chemistry; Sea ice; Methylmercury; Atmosphere (unit); Surface water; Biomagnification; Oceanography; Environmental science; Bioaccumulation; Geology; Meteorology","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":[0.0002293993,0.0005300425,0.0004445405,0.001950716,0.002828615,0.0009192834,0.0007196684,0.000354448,0.0009185926],"category_scores_gemma":[0.0006448996,0.0002920203,0.0003278583,0.003622005,0.0005599302,0.0002702801,0.000679759,0.0002736512,0.0001455579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01037069,"about_ca_system_score_gemma":0.00714631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9749601,"about_ca_topic_score_gemma":0.9895172,"domain_scores_codex":[0.9995653,0.00001564387,0.00001666908,0.00009453644,0.0001857115,0.0001220155],"domain_scores_gemma":[0.9993848,0.0000248319,0.00008102661,0.00001066905,0.000375727,0.0001229366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002061937,0.00001938189,0.9742079,0.00007781563,0.00008146978,0.0001461569,0.001640968,0.0002650513,0.01452,0.0000900208,0.000448018,0.008297077],"study_design_scores_gemma":[0.000003467445,0.00001709842,0.9962303,0.000009633879,0.00001844746,0.00003735624,0.0009649105,0.0002589,0.001043921,0.00002202254,0.001385875,0.000007951972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958196,0.0004973255,0.0001260823,0.00004380504,0.000006102315,0.00001462094,0.001868397,0.0000168124,0.001607379],"genre_scores_gemma":[0.9958286,0.0003950071,0.0006444109,0.00006397836,0.000006021643,0.00001320335,0.001995539,0.000008395474,0.001044888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02503985,"threshold_uncertainty_score":0.07524496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006414919141595429,"score_gpt":0.2191732372965747,"score_spread":0.2127583181549793,"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."}}