{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003454781,0.00004294366,0.00009331062,0.0000418359,0.00008653466,0.00003256216,0.00005746946,0.00002169908,0.000004026903],"category_scores_gemma":[0.00001513719,0.00001461809,0.00001791356,0.0001350056,0.000195332,0.0002420344,0.00001300577,0.00004475211,4.028244e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000966046,"about_ca_system_score_gemma":0.000007132386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011102,"about_ca_topic_score_gemma":0.00006087158,"domain_scores_codex":[0.9995248,0.00002144377,0.0001678371,0.00008723568,0.00009592853,0.0001027727],"domain_scores_gemma":[0.999696,0.00006663014,0.000111073,0.00001355223,0.00007575029,0.0000369817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007254958,0.00007232557,0.0459304,0.000003901279,7.439851e-7,0.000001250284,0.00005645761,0.0009404877,0.944872,0.0003996972,0.0000305845,0.007619653],"study_design_scores_gemma":[0.0001461414,0.0002609508,0.9348395,0.00002460864,0.000001750354,0.000005042564,0.00008210022,0.0003993299,0.06300377,0.001043793,0.0001554204,0.00003754412],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990145,0.0000721521,0.00001508244,0.0006224233,0.00001936774,0.00002737364,0.000001199211,0.000001271465,0.000226615],"genre_scores_gemma":[0.9998807,0.00002993035,0.00002069937,0.0000210116,0.00003851143,2.70975e-7,0.000002072779,1.610765e-7,0.000006637219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8889092,"threshold_uncertainty_score":0.0719709,"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."}}