{"id":"W2580377374","doi":"10.1155/2017/6942736","title":"A Low-Cost Automated Test Column to Estimate Soil Hydraulic Characteristics in Unsaturated Porous Media","year":2017,"lang":"en","type":"article","venue":"Geofluids","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Universidad Autónoma del Estado de México; Consejo Mexiquense de Ciencia y Tecnología; Consejo Nacional de Ciencia y Tecnología; Institut national de la recherche scientifique","keywords":"Infiltration (HVAC); Water content; Soil science; Vadose zone; Environmental science; Hydraulic conductivity; Water potential; Porous medium; Water flow; Soil water; Water balance; Loam; Water retention; Geotechnical engineering; Porosity; Hydrology (agriculture); Geology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003640476,0.0004536925,0.0004168881,0.0008025277,0.0002718302,0.0003118098,0.0007251104,0.0003704157,0.001388667],"category_scores_gemma":[0.0006904573,0.0001936861,0.0001468191,0.0004971315,0.0002531506,0.000363209,0.0003113669,0.000219377,0.0003495064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003873439,"about_ca_system_score_gemma":0.0008067452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0058468,"about_ca_topic_score_gemma":0.01169821,"domain_scores_codex":[0.9996131,0.00004067722,0.00001253434,0.00006810699,0.0002350246,0.00003065361],"domain_scores_gemma":[0.999132,0.0002991405,0.0001136929,0.0001047509,0.0003019854,0.00004847001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003082665,0.0002539482,0.02576598,0.0002872494,0.00003412965,0.0001148159,0.00007707169,0.007742255,0.85883,0.0003833783,0.0009368914,0.105266],"study_design_scores_gemma":[0.00009707325,0.001236453,0.06090166,0.00002948378,0.0001057692,0.0003864297,0.0001514838,0.2468301,0.6826337,0.0002583165,0.007256714,0.0001127673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6737429,0.0004156483,0.3193427,0.00007578027,0.00006596625,0.0004457557,0.00149179,0.002528642,0.001890796],"genre_scores_gemma":[0.851695,0.0001544975,0.14551,0.00007628546,0.00002273846,0.0003654697,0.0007297235,0.00005248261,0.001393724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0058468,"threshold_uncertainty_score":0.01162553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009838220875227108,"score_gpt":0.2451863879934752,"score_spread":0.2353481671182481,"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."}}