{"id":"W2565335889","doi":"10.1016/j.atmosenv.2016.12.051","title":"Responses of CO2 emission and pore water DOC concentration to soil warming and water table drawdown in Zoige Peatlands","year":2016,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"China Postdoctoral Science Foundation; Chengdu Institute of Biology; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Peat; Environmental science; Water table; Global warming; Carbon dioxide; Climate change; Plateau (mathematics); Greenhouse gas; Dissolved organic carbon; Hydrology (agriculture); Environmental chemistry; Groundwater; Ecology; Chemistry; Oceanography; Geology","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":[],"category_scores_codex":[0.0002607591,0.0001478358,0.0001959415,0.000003787355,0.00007450086,0.00001172286,0.00007655384,0.00007609309,0.001385725],"category_scores_gemma":[0.000009358639,0.00007585025,0.00001676605,0.00003285682,0.0001603819,0.0001351417,0.0002467956,0.00004586832,0.00003700079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126766,"about_ca_system_score_gemma":0.000003382838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001757865,"about_ca_topic_score_gemma":0.00003878101,"domain_scores_codex":[0.9988251,0.00006052169,0.0002476962,0.0003498896,0.0001584331,0.0003584078],"domain_scores_gemma":[0.9996194,0.00004436009,0.00003583209,0.0001674368,0.000001547962,0.0001314879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001024901,0.00004345192,0.6377458,0.000005158439,0.000004518664,0.00001523921,0.001013717,0.0001809722,0.356723,0.000002363503,0.0003133394,0.003849924],"study_design_scores_gemma":[0.001902973,0.0005484123,0.7759787,0.00005362237,0.00002085376,0.0000311243,0.000140308,0.0003786929,0.1564509,0.0002075053,0.06392737,0.0003595991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976704,0.00004933546,0.000280651,0.001124588,0.00003110435,0.0001942224,0.000003716932,0.000008684576,0.0006372818],"genre_scores_gemma":[0.9951001,0.0003445094,0.0006254799,0.0001434631,0.00001565368,0.00002597888,0.00001565573,0.0000112892,0.003717906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2002721,"threshold_uncertainty_score":0.9995272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004659074938057975,"score_gpt":0.1930902114164134,"score_spread":0.1884311364783555,"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."}}