{"id":"W2890733767","doi":"10.1139/facets-2018-0015","title":"Shining light on recent advances in microbial mercury cycling","year":2018,"lang":"en","type":"article","venue":"FACETS","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Phototroph; Mercury (programming language); Anoxic waters; Context (archaeology); Aquatic ecosystem; Cycling; Environmental chemistry; Ecology; Environmental science; Biology; Chemistry; Geography; Bacteria; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002062209,0.0005595856,0.0009188053,0.001278258,0.0005444589,0.002552807,0.0006230542,0.001840793,0.003136009],"category_scores_gemma":[0.002266504,0.0002523729,0.0004648565,0.001915209,0.001408618,0.005980464,0.001278535,0.003360626,0.0009304893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007435547,"about_ca_system_score_gemma":0.001747706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221161,"about_ca_topic_score_gemma":0.002742089,"domain_scores_codex":[0.9993933,0.0001026203,0.0000656161,0.0001389281,0.0002016594,0.00009772072],"domain_scores_gemma":[0.9971944,0.001448186,0.0002617493,0.0001509046,0.0006438465,0.0003008301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002811484,0.0001247711,0.002878501,0.01751252,0.000176289,0.0005968275,0.0008779399,0.00113264,0.03911655,0.02769168,0.05629355,0.8533176],"study_design_scores_gemma":[0.00001056589,0.0002941334,0.003835592,0.001936549,0.0001402731,0.0006844079,0.001271726,0.0004530849,0.007939793,0.02677309,0.9565979,0.00006294112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.00278294,0.9729974,0.001652455,0.01700854,0.002658824,0.000005960893,0.00008693158,0.00004553649,0.002761368],"genre_scores_gemma":[0.0121726,0.9751337,0.002205268,0.004530696,0.004664156,0.000007157368,0.00008671643,0.00001520355,0.001184447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003136009,"threshold_uncertainty_score":0.0109061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886783488398256,"score_gpt":0.2908788335625013,"score_spread":0.2720109986785187,"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."}}