{"id":"W1971013250","doi":"10.1021/es801635m","title":"Methylated Mercury Species in Marine Waters of the Canadian High and Sub Arctic","year":2008,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Trent University; University of Alberta; Environment and Climate Change Canada","funders":"University of Alberta; U.S. Environmental Protection Agency","keywords":"Water column; Mercury (programming language); Arctic; Oceanography; Bioaccumulation; Seawater; Bay; Environmental chemistry; Methylmercury; Biota; Environmental science; Archipelago; Chemistry; Geology; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002248062,0.0001136417,0.0001404954,0.0002319684,0.0004583013,0.000006460705,0.0003746389,0.00007076093,0.0006421487],"category_scores_gemma":[0.00004947669,0.00008165516,0.00001978742,0.0009481322,0.007307622,0.0001736571,0.000565282,0.000157656,0.00005058313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005723714,"about_ca_system_score_gemma":0.00002944612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03388726,"about_ca_topic_score_gemma":0.03753299,"domain_scores_codex":[0.9988343,0.00002184491,0.000179343,0.0002778163,0.000304294,0.0003823766],"domain_scores_gemma":[0.9995751,0.00001437924,0.00006275786,0.0002465294,0.0000018515,0.00009942895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001743152,0.00001717187,0.7797875,8.413534e-7,0.000002081784,0.000005528632,0.0003876938,0.00004026813,0.2185116,0.0001444958,0.00002033409,0.001080789],"study_design_scores_gemma":[0.0001221918,0.0000306765,0.843887,0.000003394663,0.000003286767,0.00003719517,0.0002886656,0.00001042119,0.1539976,0.0006952096,0.0008394963,0.00008493873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964131,0.0000297207,0.000001097911,0.001683365,0.00007115942,0.0001640594,0.000006383968,0.00001225572,0.001618842],"genre_scores_gemma":[0.9993169,0.0001246779,0.0001702362,0.0001185434,0.000003063011,0.000008773308,0.000001308163,0.00000497642,0.0002515067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.064514,"threshold_uncertainty_score":0.9953939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00852673280083252,"score_gpt":0.1944772047483452,"score_spread":0.1859504719475127,"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."}}