{"id":"W1583408120","doi":"10.1038/ismej.2015.86","title":"Microbial DNA records historical delivery of anthropogenic mercury","year":2015,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Laurentian University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mercury (programming language); Biology; Pollutant; Ecosystem; Phylogenetics; Population; Ecology; Environmental chemistry; Gene; Genetics","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":[0.0003380616,0.000185458,0.0001699758,0.0006128699,0.0002209128,0.0003661597,0.0001918904,0.0004503778,0.0005586431],"category_scores_gemma":[0.00157659,0.000183432,0.0001997114,0.001007751,0.0002761861,0.0002898266,0.0003133762,0.0003313358,0.0002391329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002330627,"about_ca_system_score_gemma":0.000164902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002214213,"about_ca_topic_score_gemma":0.004335107,"domain_scores_codex":[0.9997548,0.00004182377,0.0000116182,0.0001123088,0.00004631311,0.00003307271],"domain_scores_gemma":[0.9991273,0.0001903208,0.0003860674,0.00008203999,0.0001396074,0.00007473339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003415004,0.00004294498,0.6421722,0.0001294227,0.0002352629,0.00009969859,0.0005587605,0.001955181,0.3382332,0.0006701312,0.0001316117,0.01543016],"study_design_scores_gemma":[0.000007340692,0.0001442956,0.9763949,0.00001858649,0.00007900481,0.0002415588,0.0002370175,0.003182114,0.01728325,0.0004106976,0.001985054,0.00001633575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966643,0.0003286648,0.001694681,0.00003204739,0.000009282071,0.000002845024,0.0008424096,0.00001824099,0.0004075359],"genre_scores_gemma":[0.9969653,0.0002081686,0.001727683,0.00003419025,0.000007720419,0.000003067272,0.0008658295,0.000007332783,0.00018065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002214213,"threshold_uncertainty_score":0.004402637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04040301121883381,"score_gpt":0.2651703563794915,"score_spread":0.2247673451606577,"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."}}