{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001850346,0.0003494349,0.0004357672,0.0001832212,0.0002181789,0.0003323217,0.0005371604,0.0002703985,0.00005242275],"category_scores_gemma":[0.0006646873,0.000362746,0.00004929287,0.0003135063,0.00006597018,0.0002511745,0.0001023719,0.0003722867,0.0006795108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425413,"about_ca_system_score_gemma":0.00005979311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002982431,"about_ca_topic_score_gemma":0.0006149441,"domain_scores_codex":[0.9982137,0.00001848431,0.0004465454,0.0003361478,0.0002275265,0.0007576122],"domain_scores_gemma":[0.998693,0.0001030554,0.00006354487,0.0007629122,0.0001000684,0.000277455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003948665,0.001042892,0.2141315,0.001019516,0.0003994751,0.005335537,0.007165506,0.03717,0.3183515,0.0001989244,0.1248321,0.2899581],"study_design_scores_gemma":[0.0009862988,0.00004612123,0.6789522,0.0002472729,0.00002512725,0.00003624946,0.00002447249,0.3034667,0.01246626,0.00002532568,0.003077369,0.0006466598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932303,0.00007211685,0.00007860893,0.0002725882,0.001364883,0.0003326416,0.0001326977,0.001833035,0.002683088],"genre_scores_gemma":[0.9988464,0.00005422746,0.0002084848,0.0001628082,0.00020183,0.00007523632,0.0001684256,0.00008565376,0.000196962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4648207,"threshold_uncertainty_score":0.9998825,"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."}}