{"id":"W2950921531","doi":"10.1016/j.ecolind.2019.105488","title":"Peatland degradation reduces methanogens and methane emissions from surface to deep soils","year":2019,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Chengdu Institute of Biology; Southwest University of Science and Technology; National Natural Science Foundation of China","keywords":"Peat; Methane; Water table; Environmental science; Environmental chemistry; Soil water; Anaerobic oxidation of methane; Carbon dioxide; Sink (geography); Methanogenesis; Soil science; Carbon sink; Carbon fibers; Degradation (telecommunications); Chemistry; Groundwater; Geology; Ecosystem; Ecology; Materials science","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":[0.000219567,0.0004314978,0.0005356299,0.000234375,0.0002419782,0.0004738015,0.0001550252,0.0002418228,0.0007665755],"category_scores_gemma":[0.0003707045,0.0001701929,0.0004547884,0.0001668099,0.0002247442,0.0004254084,0.0004146585,0.0003972243,0.0001190243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003254607,"about_ca_system_score_gemma":0.0003981387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004336187,"about_ca_topic_score_gemma":0.007814073,"domain_scores_codex":[0.9997609,0.00002682779,0.00002117651,0.0000656172,0.00005100331,0.00007435637],"domain_scores_gemma":[0.9996088,0.00004446918,0.0001083012,0.00003340219,0.00008573507,0.0001193434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006166841,0.0001480521,0.0265568,0.0001628971,0.00005186225,0.0001324465,0.0001257447,0.0002948234,0.964782,0.00004329049,0.00006159547,0.007023665],"study_design_scores_gemma":[0.00001671148,0.001402606,0.6644902,0.00005171423,0.000109014,0.0002979124,0.0007057383,0.002412992,0.3269093,0.0001838617,0.003397651,0.00002239635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990765,0.0003156048,0.0002435646,0.00001494031,0.00000592571,0.000004667771,0.00006928905,0.00001047917,0.000258921],"genre_scores_gemma":[0.9981236,0.0002416778,0.0005391918,0.00003741435,0.00000368676,0.00001102822,0.0002086835,0.000008577091,0.0008261806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004336187,"threshold_uncertainty_score":0.008621871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109212576222757,"score_gpt":0.2424432040669678,"score_spread":0.2315219464446922,"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."}}