{"id":"W2468647090","doi":"10.1021/acs.est.5b00523","title":"Mercury Stable Isotopes in Ornithogenic Deposits As Tracers of Historical Cycling of Mercury in Ross Sea, Antarctica","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"Mercury (programming language); Bioaccumulation; Methylmercury; Environmental chemistry; Biota; Harbor seal; Oceanography; Stable isotope ratio; Sediment; Geology; Chemistry; Ecology; Biology; Paleontology","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":[0.000135319,0.0003665127,0.0001812717,0.0009286299,0.0003010994,0.0004295885,0.0001765075,0.0002282654,0.0003244349],"category_scores_gemma":[0.0002019695,0.0001548199,0.000166026,0.000809246,0.0002060306,0.0002014332,0.0002009097,0.0001209454,0.0001538397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289472,"about_ca_system_score_gemma":0.0001892515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126833,"about_ca_topic_score_gemma":0.02241062,"domain_scores_codex":[0.9999503,0.000006105683,0.000004568473,0.00001829473,0.0000123461,0.000008352628],"domain_scores_gemma":[0.9999105,0.00001024014,0.00003073952,0.000006575942,0.00002667367,0.0000152226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003749929,0.00002396907,0.5165921,0.00008421853,0.0001134309,0.0002497758,0.0005125824,0.0005994656,0.4673651,0.00009108887,0.00007871163,0.01391457],"study_design_scores_gemma":[0.000005770394,0.0000904942,0.9785019,0.000008984491,0.00004298599,0.0001659253,0.0002411242,0.0009364341,0.01897048,0.00005624531,0.0009721068,0.000007583963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988024,0.0003973819,0.0002482324,0.000007679711,0.000002646258,0.000002137837,0.0001946046,0.000009388942,0.0003355263],"genre_scores_gemma":[0.9977741,0.0003839337,0.001051547,0.00001558102,0.000004380836,0.000005410086,0.0004098483,0.00001094403,0.0003443669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126833,"threshold_uncertainty_score":0.02240545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646902412234588,"score_gpt":0.2572228337736508,"score_spread":0.240753809651305,"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."}}