{"id":"W2041961684","doi":"10.1016/j.agrformet.2013.04.013","title":"Effect of long-term water table manipulation on peatland evapotranspiration","year":2013,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"U.S. Department of Agriculture; U.S. Fish and Wildlife Service; Office of Science; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Michigan Technological University","keywords":"Evapotranspiration; Eddy covariance; Water table; Peat; Environmental science; Hydrology (agriculture); Growing season; Vapour Pressure Deficit; Atmospheric sciences; Biometeorology; Bowen ratio; Transpiration; Canopy; Ecosystem; Ecology; Photosynthesis; Geology; Groundwater; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001156989,0.0001221909,0.0001820025,0.00001900271,0.00007723318,0.00001299002,0.00006643118,0.0001023212,0.0009361612],"category_scores_gemma":[0.000006277213,0.00005375961,0.00003356522,0.00004769115,0.00008210151,0.0001618792,0.00003866538,0.0000642408,0.0001762379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000152068,"about_ca_system_score_gemma":5.648669e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003477917,"about_ca_topic_score_gemma":0.0006451297,"domain_scores_codex":[0.9992704,0.00008145678,0.0001509597,0.0001971991,0.00008009051,0.0002198994],"domain_scores_gemma":[0.9997637,0.00005930294,0.00004253607,0.00007360517,0.000008044962,0.00005287267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005958187,0.00002335733,0.942682,0.00001479726,0.00001249418,0.000002275136,0.00007011116,0.000516751,0.05224425,0.00005168241,0.0002451779,0.00407758],"study_design_scores_gemma":[0.0005366876,0.001643878,0.9886141,0.000003290072,0.00002804904,0.00002843762,0.000001358176,0.0001363353,0.008721443,0.0001351956,0.00006305018,0.00008814334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973305,0.00001519013,0.00001872586,0.0002407993,0.00006842413,0.0002884207,0.000001395657,0.00001425239,0.00202231],"genre_scores_gemma":[0.9992973,0.00001254103,0.00001125699,0.00005917505,0.00004020939,0.00004415432,0.0001377648,0.000003542789,0.0003940321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04593219,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005545196295012507,"score_gpt":0.1990303204653461,"score_spread":0.1934851241703336,"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."}}