{"id":"W2783769052","doi":"10.1002/esp.4339","title":"Grazing impacts on gully dynamics indicate approaches for gully erosion control in northeast Australia","year":2018,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"Department of the Environment and Energy, Australian Government; Meat and Livestock Australia; Department of Defence, Australian Government","keywords":"Erosion; Hydrology (agriculture); Drainage basin; Gully erosion; Surface runoff; Sediment; Ravine; Rangeland; Arid; Vegetation (pathology); Environmental science; Geology; Grazing; Deposition (geology); Geomorphology; Ecology; Geography; Agroforestry","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":[0.0001707277,0.0001322074,0.0001425502,0.0003560587,0.0004593289,0.0003206921,0.0002063985,0.0001338506,0.0008651118],"category_scores_gemma":[0.0004048781,0.00009636863,0.0001165384,0.0003018285,0.0003000014,0.0002125701,0.0004136299,0.0001291711,0.0000875439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009529737,"about_ca_system_score_gemma":0.0004680657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1274526,"about_ca_topic_score_gemma":0.3521456,"domain_scores_codex":[0.9998949,0.00002341125,0.000006510048,0.00002681806,0.00001694078,0.00003136506],"domain_scores_gemma":[0.9996703,0.00002224235,0.0001081052,0.00001518012,0.00007136244,0.0001128122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006852209,0.00003441024,0.9800914,0.00003636127,0.00002982099,0.0002231468,0.00295509,0.0002299734,0.006732068,0.00009118803,0.000163213,0.009344696],"study_design_scores_gemma":[2.238546e-7,0.00001183061,0.9995061,0.000001943978,0.000001266232,0.00001218205,0.0002508902,0.00008581526,0.00001875905,0.000005780546,0.0001045438,6.210105e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995599,0.00005056603,0.00003453078,0.00001773967,3.729707e-7,0.00000218639,0.00002438946,0.000001266834,0.0003091182],"genre_scores_gemma":[0.9994524,0.00004291128,0.00009692456,0.000008297797,4.974269e-7,0.000003386347,0.00002923405,6.696132e-7,0.0003656172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1274526,"threshold_uncertainty_score":0.2534215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075408680358136,"score_gpt":0.239018100846514,"score_spread":0.1982640140429326,"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."}}