{"id":"W2917585407","doi":"10.1038/s41396-019-0376-1","title":"Molecular evidence for novel mercury methylating microorganisms in sulfate-impacted lakes","year":2019,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"College of Science and Engineering, University of Minnesota; University of Minnesota Duluth; Genomics Center, University of Minnesota; University of Minnesota","keywords":"Biology; Deltaproteobacteria; Euryarchaeota; Metagenomics; Methylmercury; Methanogenesis; Bioaccumulation; Library; Mercury (programming language); Sulfate; Verrucomicrobia; Pyrosequencing; Ecology; Archaea; 16S ribosomal RNA; Firmicutes; Gammaproteobacteria; Gene; Genetics; Chemistry; Methane","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":[0.0001200262,0.0002979258,0.0002016491,0.0006431821,0.0003340973,0.0004978746,0.0001923868,0.0003892545,0.0003749162],"category_scores_gemma":[0.0003311429,0.0002984745,0.0003019949,0.0005334892,0.000233826,0.0001966587,0.0004515086,0.0002095739,0.0001619811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002902024,"about_ca_system_score_gemma":0.0002964606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003724932,"about_ca_topic_score_gemma":0.005828431,"domain_scores_codex":[0.9998083,0.00001134946,0.00001540588,0.00006974629,0.00005707425,0.00003821558],"domain_scores_gemma":[0.9996969,0.00003797632,0.0001076001,0.00002192428,0.00007730879,0.00005828549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003356779,0.00004749217,0.17759,0.00007785874,0.00004073486,0.0002125581,0.0006484094,0.0002287091,0.8157614,0.00009445017,0.00005560027,0.004907075],"study_design_scores_gemma":[0.00001978672,0.0002950558,0.9502985,0.00002010311,0.00007633589,0.0003777339,0.0006363388,0.001885899,0.04500455,0.00008795882,0.001281691,0.00001608073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999189,0.00008733583,0.0002418675,0.00001462878,0.000001362806,0.000007535525,0.0002800582,0.000009303382,0.0001690107],"genre_scores_gemma":[0.996313,0.0001165617,0.001900835,0.0000440527,0.000005289241,0.00001956251,0.001143239,0.000006210693,0.0004512052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003724932,"threshold_uncertainty_score":0.007406473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0453786232103519,"score_gpt":0.3138038958238258,"score_spread":0.2684252726134739,"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."}}