{"id":"W1452442033","doi":"10.1515/johh-2015-0012","title":"Optimal parameters for the Green-Ampt infiltration model under rainfall conditions","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology and Hydromechanics","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests","funders":"U.S. Army Corps of Engineers; Recruitment Program of Global Experts; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Infiltration (HVAC); Richards equation; Mathematics; Soil science; Soil water; Characterisation of pore space in soil; Mathematical optimization; Hydrology (agriculture); Environmental science; Geotechnical engineering; Geology; Porosity; Meteorology","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":[0.0003162359,0.0001019991,0.0001681221,0.00008511972,0.00008049756,0.00002079415,0.0001061757,0.0001447673,0.000004074891],"category_scores_gemma":[0.00004016601,0.00007239085,0.00006822178,0.00006622243,0.00003866429,0.0001679454,0.00001048949,0.000264292,0.000001727512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002371992,"about_ca_system_score_gemma":0.00004180284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003020228,"about_ca_topic_score_gemma":0.00001088573,"domain_scores_codex":[0.9994264,0.00001870022,0.0002426484,0.00006306672,0.00009113899,0.0001580354],"domain_scores_gemma":[0.9995031,0.0001553437,0.00008189064,0.00008446041,0.00008152334,0.00009367059],"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":[0.00005374254,0.00001230938,0.000005899657,0.00000643326,0.000134555,0.000003812199,0.0003761967,0.993528,0.001333287,0.002698465,0.001555715,0.0002915711],"study_design_scores_gemma":[0.0007827133,0.0002623023,0.00001433472,0.000005615736,0.0001019831,0.0003099149,0.0001277794,0.9654812,0.0003772425,0.03177774,0.0006752236,0.00008396672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8069907,0.0007100451,0.189776,0.00171756,0.0005435554,0.0001126568,0.00001354991,0.00003173742,0.0001041837],"genre_scores_gemma":[0.9970959,0.0001148507,0.002218123,0.0004060193,0.00008950225,0.000007592936,0.000005727358,0.00001448705,0.00004781211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1901052,"threshold_uncertainty_score":0.2952013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143272679016521,"score_gpt":0.2436056302140822,"score_spread":0.212172903423917,"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."}}