{"id":"W2320902837","doi":"10.1021/es5008033","title":"Total and Methylated Mercury in Arctic Multiyear Sea Ice","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université Laval; Center for Northern Studies; University of Manitoba","funders":"","keywords":"Mercury (programming language); Arctic; Sea ice; Methylmercury; Environmental science; Oceanography; Marine ecosystem; Arctic ice pack; Environmental chemistry; Ecosystem; Chemistry; Ecology; Geology; Bioaccumulation; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002283174,0.0002328271,0.0002172273,0.001356107,0.000379853,0.0004668714,0.0002051144,0.000192696,0.0002956652],"category_scores_gemma":[0.000273458,0.0001238094,0.0002414024,0.001013261,0.0001872626,0.000250032,0.000351277,0.0001410722,0.00008927363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000527675,"about_ca_system_score_gemma":0.0003867441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03027489,"about_ca_topic_score_gemma":0.04435597,"domain_scores_codex":[0.9998301,0.00001116484,0.00001364524,0.0000579354,0.00006318731,0.00002401661],"domain_scores_gemma":[0.9997895,0.00002222868,0.00008070007,0.000008089945,0.00007610639,0.00002325965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005145951,0.00004561486,0.7479886,0.0001957674,0.0003182177,0.0002234747,0.0004232368,0.002032242,0.2222048,0.0001639274,0.0002351892,0.0256544],"study_design_scores_gemma":[0.000002327881,0.00009672649,0.981867,0.00001151723,0.0000410825,0.0001218246,0.000168891,0.0007524856,0.01546151,0.00006203006,0.001405257,0.000009340609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969313,0.001313769,0.0002524212,0.000009444943,0.000006931427,0.000003205113,0.0008303479,0.00000746364,0.000645023],"genre_scores_gemma":[0.9959714,0.0009793909,0.0008034823,0.00002986167,0.00001117675,0.00001268225,0.001408466,0.00001025666,0.0007732727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03027489,"threshold_uncertainty_score":0.06019735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003255590522509698,"score_gpt":0.1792234709045112,"score_spread":0.1759678803820015,"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."}}