{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003320126,0.0001686129,0.0002795944,0.00005599428,0.0001229848,0.0000290006,0.0002342896,0.0002062429,0.01214922],"category_scores_gemma":[0.0001362647,0.0001201263,0.00004806343,0.0002973231,0.0001094426,0.0000988085,0.0003042971,0.0001641315,0.00108627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008485759,"about_ca_system_score_gemma":0.00001158693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001718235,"about_ca_topic_score_gemma":0.0002747366,"domain_scores_codex":[0.9985439,0.0001433001,0.0002232912,0.0005326282,0.0001878031,0.0003691104],"domain_scores_gemma":[0.9990073,0.0003417725,0.00008999168,0.0001954347,0.00000402272,0.0003614987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002929053,0.0001044859,0.9606017,0.000001407649,0.00002416972,0.00001039045,0.0003254375,0.0002428681,0.03331521,0.00003356186,0.001729985,0.003581463],"study_design_scores_gemma":[0.0003601532,0.0002775179,0.9831328,0.000003738525,0.00002526606,0.000004565114,0.0001589896,0.0002401585,0.007148083,0.0005576671,0.007864462,0.0002266331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920577,0.00004912797,0.0000752652,0.0009909497,0.00015465,0.0003023365,0.00001734344,0.00005049983,0.006302073],"genre_scores_gemma":[0.9957634,0.0000449969,0.002433169,0.0005138555,0.00003400202,0.00001123209,0.00005730191,0.000009553868,0.00113255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02616713,"threshold_uncertainty_score":0.9996915,"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."}}