{"id":"W4226257573","doi":"10.1002/ldr.4284","title":"Evaluation of the impact of the Gully Land Consolidation Project on runoff under extreme rainfall","year":2022,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Surface runoff; Environmental science; Watershed; Interception; Hydrology (agriculture); Groundwater recharge; Infiltration (HVAC); Runoff curve number; Groundwater; Water resource management; Geology; Geography; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007766441,0.00006043116,0.00006620722,0.00002426277,0.0002813506,0.000005049508,0.00008540894,0.00001395642,0.0004813521],"category_scores_gemma":[0.00002466319,0.00003084358,0.0000240009,0.0001223772,0.00006498198,0.00003650889,0.0001875485,0.00004559433,0.000004022382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170607,"about_ca_system_score_gemma":0.00005312153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916039,"about_ca_topic_score_gemma":0.000196524,"domain_scores_codex":[0.9990708,0.0001886762,0.000138375,0.0001061789,0.0004238445,0.00007213629],"domain_scores_gemma":[0.9997373,0.00002438802,0.0001095406,0.0001058272,0.00001435714,0.000008581368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005555455,0.00009878201,0.9569415,0.000005473232,0.00008108568,8.536321e-8,0.001911023,0.03061388,0.0002808354,0.00008256706,0.002907799,0.007021358],"study_design_scores_gemma":[0.0005678237,0.00004169151,0.9947317,0.000004534797,0.00002434004,0.000001003034,0.0001380424,0.00153784,0.0005319929,0.0005229638,0.001847766,0.0000502915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946012,0.00001511458,0.0000714972,0.0004033404,0.00006557747,0.0003866989,0.000004424095,0.000004409885,0.004447683],"genre_scores_gemma":[0.9992852,0.000005431232,0.00005895613,0.0001339438,0.000002875332,0.00003810876,0.00001212953,0.000002277293,0.0004611336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03779016,"threshold_uncertainty_score":0.5270468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05934318851947457,"score_gpt":0.2799970999555321,"score_spread":0.2206539114360576,"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."}}