{"id":"W3015277656","doi":"10.1016/j.jhydrol.2020.124939","title":"Improving hydrologic model to predict the effect of snowpack and soil temperature on carbon dioxide emission in the cold region peatlands","year":2020,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"Ministry of Economic Development and Trade, Government of Alberta","keywords":"Peat; Environmental science; SWAT model; Permafrost; Snow; Hydrology (agriculture); Soil carbon; Snowpack; Soil and Water Assessment Tool; Carbon dioxide; Drainage basin; Soil water; Atmospheric sciences; Soil science; Geology; Structural basin; Geomorphology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007933101,0.0001336404,0.0003188896,0.00004514368,0.00006353616,0.000009040002,0.0003304835,0.0001419503,0.000005718749],"category_scores_gemma":[0.0001900693,0.00006028642,0.00006498263,0.0001503485,0.0001080991,0.00004535406,0.0001148617,0.0004707094,8.40539e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003454199,"about_ca_system_score_gemma":0.00001229128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003679016,"about_ca_topic_score_gemma":0.00004338974,"domain_scores_codex":[0.9988031,0.0002979399,0.0003050233,0.0001763161,0.0002019383,0.0002156345],"domain_scores_gemma":[0.9992456,0.0002868666,0.0002221544,0.0001433422,0.000005980328,0.00009605912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002017944,0.00006081696,0.5777254,0.0000243436,0.00002554029,0.0002349536,0.001801702,0.1085204,0.3059004,0.00001593263,0.002942527,0.0007299813],"study_design_scores_gemma":[0.01040978,0.06137298,0.2021708,0.0001353119,0.0003430956,0.00247905,0.0002425664,0.6780779,0.04075218,0.0007859746,0.00258272,0.0006477237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877684,0.00007250183,0.00002205018,0.01121286,0.00004671194,0.000180268,0.000001111518,0.000003882925,0.0006921951],"genre_scores_gemma":[0.9976534,0.00004671806,0.00001451723,0.002154363,0.00009524543,0.000005889737,8.635995e-7,0.000006691967,0.00002228042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5695574,"threshold_uncertainty_score":0.2458409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00753569224659542,"score_gpt":0.2090975565711205,"score_spread":0.2015618643245251,"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."}}