{"id":"W3125903257","doi":"10.1038/s41396-020-00889-4","title":"Mercury methylation by metabolically versatile and cosmopolitan marine bacteria","year":2021,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; University of British Columbia","funders":"Medical Research Council; Office of Science; University of Melbourne; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; State Government of Victoria; Joint Genome Institute; U.S. Department of Energy","keywords":"Biology; Mercury (programming language); Methylmercury; Methylation; Bacteria; Marine bacteriophage; Anoxic waters; Gene; Microbial ecology; DNA methylation; Genetics; Ecology; Gene expression; Bioaccumulation","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":[0.0001291942,0.0003648055,0.0001806561,0.0004215126,0.0005188606,0.0006601158,0.0002183001,0.0002744149,0.0002335354],"category_scores_gemma":[0.0002206038,0.0001446039,0.0002050655,0.0006845946,0.0003406587,0.0001818906,0.00067498,0.0002531322,0.0001352423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007449328,"about_ca_system_score_gemma":0.0009411098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08131072,"about_ca_topic_score_gemma":0.1319847,"domain_scores_codex":[0.9997367,0.00001444312,0.000009478752,0.0001045214,0.0000817593,0.00005300555],"domain_scores_gemma":[0.999931,0.000006706956,0.00001784274,0.000007427988,0.00002095809,0.00001603563],"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":[0.0002342033,0.00008453324,0.1393982,0.0001272596,0.00005787471,0.0001664886,0.0005418569,0.001343044,0.8383687,0.0002014182,0.0002008814,0.01927557],"study_design_scores_gemma":[0.0000204257,0.000229659,0.9108012,0.00003424081,0.00008015867,0.0002693069,0.001697667,0.006305695,0.07521077,0.00031587,0.005001241,0.00003375097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984978,0.0001856904,0.0003244522,0.00002855987,0.00000206083,0.000007424299,0.0003168118,0.00001404336,0.0006232828],"genre_scores_gemma":[0.9971195,0.0002491806,0.001392436,0.00002256986,0.000001782788,0.00001002638,0.0006465525,0.000005168349,0.0005527448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08131072,"threshold_uncertainty_score":0.1616749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184595171789462,"score_gpt":0.2503395252742487,"score_spread":0.2384935735563541,"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."}}