{"id":"W3102507711","doi":"10.1002/esp.5033","title":"Gully prevention and control: Techniques, failures and effectiveness","year":2020,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; National Institute of Food and Agriculture; Ministerio de Economía y Competitividad; National Science Foundation; Consejo Nacional de Ciencia y Tecnología; Canadian Institute for Advanced Research; Division of Environmental Biology; Akademie Věd České Republiky; U.S. Department of Agriculture; Agence Nationale de la Recherche","keywords":"Vegetation (pathology); Surface runoff; Environmental science; Erosion; Erosion control; Resistance (ecology); Channel (broadcasting); Soil conservation; Hydrology (agriculture); Sediment; Bank erosion; Topsoil; Geology; Soil water; Geotechnical engineering; Agriculture; Soil science; Geography; Ecology; Geomorphology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003243504,0.0009099707,0.002276122,0.002904802,0.0003661936,0.001558029,0.001367596,0.00115266,0.003761954],"category_scores_gemma":[0.00621958,0.0003245188,0.001871309,0.001379724,0.0008310316,0.001419355,0.000783954,0.001061268,0.0004460479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064366,"about_ca_system_score_gemma":0.001455874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003357561,"about_ca_topic_score_gemma":0.004366999,"domain_scores_codex":[0.997488,0.0006367071,0.0004398546,0.0003236635,0.0009593748,0.0001523566],"domain_scores_gemma":[0.9962155,0.002102809,0.0007352188,0.00008244215,0.0007535869,0.0001103576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005027772,0.000402271,0.001935337,0.105906,0.0009080031,0.0001861585,0.0002964762,0.00122515,0.002297773,0.002371422,0.005374723,0.878594],"study_design_scores_gemma":[0.0004820983,0.01015531,0.04002589,0.2343947,0.009273583,0.003690641,0.001976558,0.003063738,0.01652048,0.006671508,0.6734446,0.0003009445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004006095,0.993046,0.0005887739,0.0005145267,0.0001243574,0.00008315252,0.00007119667,0.00002079755,0.00154521],"genre_scores_gemma":[0.04358649,0.9521096,0.002750122,0.000382276,0.000180147,0.000117126,0.00009220261,0.00001285293,0.000769236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003761954,"threshold_uncertainty_score":0.0171535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121270004200446,"score_gpt":0.2027743574970332,"score_spread":0.1915616574550288,"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."}}