{"id":"W2099771664","doi":"10.1111/j.1439-037x.2006.00208.x","title":"Quantification and Simulation of Grazing Impacts on Soil Water in Boreal Grasslands","year":2006,"lang":"en","type":"article","venue":"Journal of Agronomy and Crop Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Crop Industry Development Fund; Burman University","funders":"","keywords":"Grazing; Environmental science; Pasture; Soil water; Boreal; Precipitation; Grassland; Water content; Hydrology (agriculture); Fencing; Agronomy; Animal science; Soil science; Ecology; Biology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004672189,0.0003696879,0.0002987504,0.0002462066,0.0003608617,0.0005224611,0.0006193636,0.0005114499,0.0003868085],"category_scores_gemma":[0.000897088,0.000266009,0.0003052115,0.0002403382,0.0004244401,0.0002704057,0.000260771,0.0002237974,0.00002934216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002533182,"about_ca_system_score_gemma":0.001421646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2970437,"about_ca_topic_score_gemma":0.2422873,"domain_scores_codex":[0.9998617,0.00003681556,0.000006149986,0.0000271939,0.00002577371,0.00004235049],"domain_scores_gemma":[0.9996217,0.0001620067,0.00005385831,0.0000292416,0.00007874447,0.00005439696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002379376,0.0001265952,0.07268175,0.00002313438,0.00005434027,0.00008237996,0.00005902469,0.920228,0.003324703,0.0001794907,0.00008698079,0.002915671],"study_design_scores_gemma":[0.00004821351,0.0001372887,0.03556627,0.000003262956,0.00002045969,0.00001346888,0.00005939821,0.96284,0.001086067,0.00008120917,0.0001345724,0.000009675854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989187,0.00002013109,0.000719019,0.00001203496,0.000001823229,0.000006424925,0.00006598407,0.00003560208,0.0002203805],"genre_scores_gemma":[0.999235,0.000009810294,0.0006057777,0.000003103136,5.95393e-7,0.000004790896,0.0000718447,0.000001912264,0.00006703486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2970437,"threshold_uncertainty_score":0.5906295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752107701459736,"score_gpt":0.2492238138517813,"score_spread":0.231702736837184,"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."}}