{"id":"W2773527722","doi":"10.1021/acs.est.7b03821","title":"A Model for Methylmercury Uptake and Trophic Transfer by Marine Plankton","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"Division of Ocean Sciences; U.S. Environmental Protection Agency","keywords":"Phytoplankton; Trophic level; Zooplankton; Methylmercury; Plankton; Food web; Ecosystem; Environmental science; Marine ecosystem; Bioaccumulation; Environmental chemistry; Oceanography; Chemistry; Ecology; Nutrient; Biology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0003273667,0.0001861997,0.0001915781,0.00009471281,0.001448253,0.00006498277,0.0006565045,0.0001091069,0.0003758281],"category_scores_gemma":[0.00005786299,0.000163428,0.00003839856,0.0001138969,0.004799488,0.0005221569,0.0006347694,0.0001304764,0.00006317496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514833,"about_ca_system_score_gemma":0.000009462927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003785323,"about_ca_topic_score_gemma":0.0000311392,"domain_scores_codex":[0.998472,0.000006609345,0.0001846086,0.0005488468,0.0002964541,0.0004914449],"domain_scores_gemma":[0.9992939,0.00001521805,0.0000665696,0.0004853839,0.000001813264,0.0001371531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002398179,0.00008425187,0.05116045,0.000003533374,0.000009840398,0.000001957778,0.0003992315,0.0000725007,0.8596712,0.0005808434,0.0007398428,0.08725238],"study_design_scores_gemma":[0.004827587,0.001306081,0.4406389,0.00002807269,0.0001725635,0.0001388046,0.001794221,0.06721202,0.3472572,0.0343066,0.1001739,0.002144082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992383,0.00009060257,0.003049735,0.00179845,0.00006820625,0.0003714,0.00006541848,0.00005450345,0.002118661],"genre_scores_gemma":[0.9959059,0.0002417608,0.002343479,0.0001819785,0.000009638059,0.0000930239,0.00000562255,0.00001265838,0.001205889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.512414,"threshold_uncertainty_score":0.9998517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817314005251081,"score_gpt":0.2578069746740435,"score_spread":0.2396338346215327,"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."}}