{"id":"W4231931559","doi":"10.2458/azu_jrm_v57i2_chanasyk","title":"Quantification and simulation of soil water on grazed fescue watersheds","year":2004,"lang":"en","type":"article","venue":"Journal of Range Management","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"","keywords":"Grazing; Environmental science; Water content; Hydrology (agriculture); Soil water; Grassland; Neutron probe; Soil science; Agronomy; Geology","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":[0.0002533215,0.0003445218,0.0002852396,0.0003416557,0.000276933,0.0004517219,0.0006269663,0.0004954309,0.0004314289],"category_scores_gemma":[0.0006076907,0.0002391607,0.0002723799,0.0004096711,0.0003534679,0.0003289137,0.0002314639,0.0001705454,0.00004077861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868734,"about_ca_system_score_gemma":0.001045097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1818917,"about_ca_topic_score_gemma":0.1864349,"domain_scores_codex":[0.9998915,0.00002043749,0.000005562121,0.00003046958,0.00001923506,0.00003273992],"domain_scores_gemma":[0.999795,0.00007712314,0.00003319569,0.00001423885,0.00004588889,0.00003446819],"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":[0.0001962906,0.0001530006,0.09839697,0.00002554204,0.00002917632,0.0001413937,0.00008427697,0.8896892,0.006991772,0.0001930383,0.0001195832,0.003979761],"study_design_scores_gemma":[0.00002518918,0.00008818693,0.03122109,0.000002500462,0.000009308158,0.00001108391,0.00006787427,0.9667631,0.001647228,0.00005735096,0.00009906871,0.000008134638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989007,0.000008899656,0.0006946041,0.000008446467,0.000001037361,0.000008050757,0.0001291367,0.00003867328,0.0002103784],"genre_scores_gemma":[0.9988251,0.00001146097,0.0008818248,0.000002665233,4.142227e-7,0.000007447997,0.0001512994,0.000003245264,0.0001165419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1818917,"threshold_uncertainty_score":0.3616659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360539403673809,"score_gpt":0.2175930417844638,"score_spread":0.2039876477477257,"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."}}