{"id":"W3145389717","doi":"","title":"EFFECT OF DIGITAL ELEVATION MODEL RESOLUTION ON EMPIRICAL ESTIMATION OF SOIL LOSS AND SEDIMENT TRANSPORT WITH GIS","year":2004,"lang":"en","type":"article","venue":"国际泥沙研究(英文版)","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Ministry of Agriculture","funders":"","keywords":"Digital elevation model; Watershed; Raster graphics; Elevation (ballistics); Soil science; Soil map; Environmental science; Universal Soil Loss Equation; Hydrology (agriculture); Spatial variability; Empirical modelling; Remote sensing; Geology; Soil loss; Soil water; Geomorphology; Erosion; Mathematics; Statistics; Computer science; Geotechnical engineering; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.006474213,0.0003084657,0.0003079432,0.0005147137,0.0001765211,0.0007371679,0.0003638739,0.0002990547,0.0003695377],"category_scores_gemma":[0.03707385,0.0002847155,0.0004090682,0.001133767,0.0004788573,0.001043038,0.0005923945,0.000319779,0.00008911279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004922616,"about_ca_system_score_gemma":0.0002441776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005026246,"about_ca_topic_score_gemma":0.004498882,"domain_scores_codex":[0.9964025,0.002276848,0.0002192395,0.0003152086,0.0006712544,0.0001149233],"domain_scores_gemma":[0.9624855,0.02999047,0.001982743,0.003970548,0.001418388,0.0001523044],"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":[0.0009421288,0.00009664585,0.3881983,0.0001306687,0.0003113388,0.0004395005,0.0005184263,0.5201779,0.006012497,0.001646591,0.0003574149,0.08116859],"study_design_scores_gemma":[0.00004554751,0.000365247,0.2777005,0.00005089559,0.0001529665,0.000479089,0.0005485401,0.6999866,0.01757256,0.001585232,0.001449324,0.00006348003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749081,0.0002482965,0.02343194,0.00009380972,0.000008337727,0.00002142181,0.0002084009,0.0001191634,0.0009604921],"genre_scores_gemma":[0.9914909,0.0001025413,0.008095219,0.0000138315,0.00000322239,0.000008199629,0.0001752818,0.00001449783,0.00009629628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006474213,"threshold_uncertainty_score":0.03423929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625602635260801,"score_gpt":0.2384381457180934,"score_spread":0.2221821193654854,"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."}}