{"id":"W2594248856","doi":"10.1038/srep42198","title":"Arsenic Methylation and its Relationship to Abundance and Diversity of arsM Genes in Composting Manure","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Science and Technology Department of Zhejiang Province; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Manure; Methylation; Compost; Chicken manure; Abundance (ecology); Biology; Relative species abundance; Food science; Arsenic; Streptomyces; Gene; Microbiology; Bacteria; Chemistry; Agronomy; Genetics; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008952843,0.00004843655,0.0000717276,0.00005411941,0.0006701219,0.00006402894,0.00006469479,0.00002860792,0.00003887698],"category_scores_gemma":[0.0002908538,0.0000503277,0.0000114639,0.00008753133,0.0001642106,0.0003493752,0.0003428366,0.0000402139,0.000006057131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003401274,"about_ca_system_score_gemma":0.000006488732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000132225,"about_ca_topic_score_gemma":0.0007723842,"domain_scores_codex":[0.9992123,0.00002442786,0.0001827883,0.0002958163,0.0002008994,0.00008379231],"domain_scores_gemma":[0.9994323,0.00003135775,0.0002290538,0.0002364594,0.0000176068,0.00005317592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002104439,0.000008079007,0.955864,0.000006448931,8.607486e-7,0.00000940867,0.001830084,0.0001030301,0.03306888,0.0001077609,0.00006649362,0.008932873],"study_design_scores_gemma":[0.00007451585,0.000006224556,0.9893839,0.00002062562,0.000004114603,0.00001253263,0.0001184499,0.001061672,0.006533167,0.002353545,0.000375521,0.00005577612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977633,0.00005072527,0.0001474339,0.0002701079,0.0003367884,0.0001840266,8.014679e-7,0.000006893241,0.001239925],"genre_scores_gemma":[0.9981924,0.000003042659,0.0005497632,0.000008782822,0.000004467644,0.000002084162,0.00000341346,0.000002078745,0.001234009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03351988,"threshold_uncertainty_score":0.5154104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021480238203544,"score_gpt":0.2647490930754503,"score_spread":0.2345342906934149,"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."}}