{"id":"W2515060049","doi":"","title":"Variabilidad espacial de la infiltración de una ladera determinada con permeámetro de Guelph e infiltrometro de tensión","year":2001,"lang":"es","type":"article","venue":"","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydraulic conductivity; Infiltrometer; Kriging; Infiltration (HVAC); Soil science; Water content; Spatial variability; Permeameter; Mathematics; Interpolation (computer graphics); Environmental science; Soil water; Hydrology (agriculture); Geotechnical engineering; Statistics; Geology; Meteorology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007669974,0.000396503,0.0002809798,0.0005521646,0.0001109203,0.0004035064,0.0001810661,0.0002798095,0.0004311576],"category_scores_gemma":[0.001323511,0.0001475391,0.0002762883,0.0007168412,0.0003027669,0.0003728598,0.0002598255,0.0002348293,0.0001828876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003406556,"about_ca_system_score_gemma":0.0001515841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007734045,"about_ca_topic_score_gemma":0.01089466,"domain_scores_codex":[0.9995716,0.00009462913,0.00001389889,0.0001409565,0.0001299543,0.00004888099],"domain_scores_gemma":[0.9991826,0.0004240944,0.000179226,0.00005943646,0.0001217168,0.00003286311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001917831,0.00009744336,0.7153887,0.0001138253,0.0001759719,0.0002195474,0.0006701081,0.00835839,0.2108476,0.0001313529,0.0001243432,0.06195487],"study_design_scores_gemma":[0.00001152167,0.0002834723,0.9619209,0.000006375579,0.0000559315,0.0001651738,0.0001319583,0.01397618,0.02265749,0.00004361565,0.0007239262,0.00002341934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982556,0.00006563972,0.001288967,0.000003649764,0.000001452446,0.000002479718,0.00007736449,0.00003828702,0.0002665899],"genre_scores_gemma":[0.9979691,0.00006774668,0.001487088,0.00000383216,0.000002608436,0.000007327786,0.000169129,0.00001145513,0.0002815648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007734045,"threshold_uncertainty_score":0.015378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006623339053910031,"score_gpt":0.2474100492649791,"score_spread":0.240786710211069,"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."}}