{"id":"W2127238791","doi":"10.5194/hess-18-1873-2014","title":"Incipient subsurface heterogeneity and its effect on overland flow generation – insight from a modeling study of the first experiment at the Biosphere 2 Landscape Evolution Observatory","year":2014,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Philecology Foundation; U.S. Department of Energy; National Science Foundation","keywords":"Biosphere; Surface runoff; Hydrology (agriculture); Environmental science; Hydraulic conductivity; Soil science; Flow (mathematics); Outflow; Spatial heterogeneity; Geology; Soil water; Ecology; Mathematics; Geotechnical engineering; Biology; Geometry","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":[0.0007062531,0.0003704906,0.0004434802,0.0002571687,0.0004524564,0.0005780791,0.0006515675,0.0007542015,0.0005831342],"category_scores_gemma":[0.001358585,0.0002985701,0.0007775175,0.000321695,0.000638417,0.0006345577,0.0003638708,0.0005687521,0.00003517639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259085,"about_ca_system_score_gemma":0.0005514972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02634517,"about_ca_topic_score_gemma":0.01924153,"domain_scores_codex":[0.9998486,0.00004934136,0.000007575862,0.00004077946,0.00001263716,0.00004100299],"domain_scores_gemma":[0.9985227,0.001051306,0.00015053,0.0001139474,0.0000619349,0.00009958995],"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":[0.0002771351,0.000389737,0.06062358,0.00003247658,0.00008214722,0.0001751903,0.00009016103,0.9259999,0.009054483,0.0009192637,0.0001560171,0.002199871],"study_design_scores_gemma":[0.0000423094,0.00009359906,0.01322943,0.000001677786,0.00002104335,0.000009684656,0.00002978479,0.9845509,0.001763914,0.0001887064,0.00005954371,0.000009332715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999143,0.00001005756,0.0005752078,0.00002448512,0.000001067467,0.000004474931,0.00005008696,0.000009312923,0.000182209],"genre_scores_gemma":[0.9994561,0.000008371509,0.0004359123,0.000004592466,0.00000105611,0.000006831233,0.00003284698,0.000003137224,0.00005127028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02634517,"threshold_uncertainty_score":0.05238366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773345970624958,"score_gpt":0.2094390169524225,"score_spread":0.1917055572461729,"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."}}