{"id":"W4401970647","doi":"10.22541/au.172481421.19195968/v1","title":"Assessing the hydrologic impacts of soil conservation practices using a field-scale experimental setup and physically based modelling","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement","funders":"","keywords":"Scale (ratio); Environmental science; Field (mathematics); Scale effects; Soil conservation; Hydrology (agriculture); Environmental resource management; Soil science; Geology; Geography; Geotechnical engineering; Mathematics; Cartography; Agriculture; Archaeology","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":[0.001091351,0.0005953441,0.000515546,0.0002775897,0.0004738642,0.0005662204,0.001228131,0.0007469484,0.0008173504],"category_scores_gemma":[0.0008581762,0.0002429916,0.0005103562,0.0004044792,0.0008779997,0.0004058443,0.0004456496,0.0006046831,0.00008627739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002782759,"about_ca_system_score_gemma":0.001301125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02873077,"about_ca_topic_score_gemma":0.04065376,"domain_scores_codex":[0.9993321,0.0002157022,0.00003563445,0.0001820826,0.0001182542,0.0001161311],"domain_scores_gemma":[0.9989158,0.0004454513,0.0001908355,0.0001838409,0.0001276358,0.0001363596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004100876,0.02019089,0.06379863,0.000669569,0.0004307009,0.0004598144,0.0006864875,0.1410727,0.7415226,0.0009432278,0.0005574377,0.02556713],"study_design_scores_gemma":[0.001826278,0.08768094,0.4649288,0.00005982022,0.0007149592,0.0002164295,0.00105868,0.2081938,0.2285888,0.001057145,0.005350817,0.0003234412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970648,0.00001983341,0.002079786,0.00001675054,0.00000393528,0.0002634537,0.0002448538,0.00002155843,0.0002850214],"genre_scores_gemma":[0.9882273,0.00009120442,0.009775313,0.00003255565,0.000007776545,0.0007587789,0.0005118189,0.00001076743,0.0005843951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02873077,"threshold_uncertainty_score":0.05712712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05727791450416812,"score_gpt":0.331438452191895,"score_spread":0.2741605376877269,"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."}}