{"id":"W2094029088","doi":"10.1016/j.scitotenv.2011.05.002","title":"Temporal trends of Hg in Arctic biota, an update","year":2011,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; University of Victoria; Carleton University; Environment and Climate Change Canada","funders":"","keywords":"Biota; Arctic; The arctic; Environmental science; Physical geography; Oceanography; Geography; Ecology; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007841698,0.00009701231,0.0001210975,0.00004560567,0.0001397882,0.000005373737,0.0006725812,0.00001768543,0.001991117],"category_scores_gemma":[0.00001990578,0.00005171277,0.00005165938,0.0004133717,0.002922791,0.0002504655,0.000488894,0.00007352058,0.00007299475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009431142,"about_ca_system_score_gemma":0.000009990162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008531493,"about_ca_topic_score_gemma":0.00001947823,"domain_scores_codex":[0.9987673,0.00006188603,0.0002343514,0.0001931864,0.0005118254,0.0002314743],"domain_scores_gemma":[0.9992488,0.00001223342,0.0001581882,0.0005168697,0.000002215016,0.00006168741],"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":[0.0001571947,0.001572271,0.1660188,0.00002461718,0.00004605294,0.00000332614,0.03854742,0.02244964,0.7361625,0.002773985,0.0003634401,0.03188075],"study_design_scores_gemma":[0.0001481934,0.0001083395,0.9271306,0.000009292951,0.00001222965,0.000004175422,0.0005393506,0.0004113309,0.07043015,0.001068216,0.00004923639,0.00008888169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920686,0.00002159037,0.000005550638,0.0003146825,0.00007889557,0.0001006736,0.000004480024,0.00000354396,0.007401955],"genre_scores_gemma":[0.9989789,0.00001702862,0.0003426755,0.00002443764,0.000005310107,0.000004200326,3.157184e-7,0.000004110018,0.0006230823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7611117,"threshold_uncertainty_score":0.9997907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685986982438648,"score_gpt":0.2407752651287145,"score_spread":0.213915395304328,"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."}}