{"id":"W2102394751","doi":"10.1002/hyp.7931","title":"MHYDAS-Erosion: a distributed single-storm water erosion model for agricultural catchments","year":2010,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Agence Nationale de la Recherche","keywords":"Erosion; Environmental science; Hydrology (agriculture); WEPP; Storm; Sediment; Drainage basin; Deposition (geology); Sediment transport; Surface runoff; Geology; Agriculture; Soil conservation; Geomorphology; Geography","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":[0.0003522216,0.0006218277,0.0007420806,0.0003345333,0.000353839,0.001021131,0.001882923,0.001018361,0.002338391],"category_scores_gemma":[0.0007914749,0.0003746483,0.0009401109,0.0004635051,0.0003757997,0.000779124,0.0008830791,0.0007614129,0.0004227144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000657035,"about_ca_system_score_gemma":0.0009856593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02029742,"about_ca_topic_score_gemma":0.009805821,"domain_scores_codex":[0.9998688,0.00003448579,0.00001230622,0.00003242209,0.00003251849,0.00001951812],"domain_scores_gemma":[0.9997866,0.00008197332,0.0000322027,0.00001773995,0.00004629713,0.00003528966],"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":[0.00004247672,0.00002477452,0.001218763,0.00002401957,0.00002920533,0.00005431229,0.00002214999,0.9913713,0.0005576617,0.001950018,0.0005709067,0.004134374],"study_design_scores_gemma":[0.00002434032,0.000008399114,0.000192914,0.000001814902,0.0000046411,0.00001003947,0.000003760869,0.9979265,0.0001057662,0.0006034156,0.001114249,0.000004303046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3097583,0.0008420385,0.6638254,0.0007720263,0.0002004309,0.0003566344,0.00642545,0.006177841,0.01164197],"genre_scores_gemma":[0.869403,0.0005719573,0.1192515,0.0001067237,0.00009791221,0.0004685459,0.002619736,0.0005082751,0.006972407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02029742,"threshold_uncertainty_score":0.04035854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03454303314877136,"score_gpt":0.2281361010082592,"score_spread":0.1935930678594878,"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."}}