{"id":"W2355645364","doi":"","title":"Mechanism of spatial and temporal variability of sediments hydraulic conductivity in Weihe River : A case study in Shaan Xi","year":2016,"lang":"en","type":"article","venue":"","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Science North","funders":"","keywords":"Hydraulic conductivity; Hydrology (agriculture); Spatial variability; Geology; Sediment; Environmental science; Geomorphology; Geotechnical engineering; Soil science; Soil water","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":[0.001013548,0.00009116553,0.0001801248,0.00003259799,0.00001889443,0.000001589149,0.00006466458,0.00005489963,0.0009121408],"category_scores_gemma":[0.00003478634,0.00006617282,0.00001951784,0.00008761513,0.0002948729,0.0002212805,0.0001884639,0.00005607336,0.000009835138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375954,"about_ca_system_score_gemma":0.000004965752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07066031,"about_ca_topic_score_gemma":0.01846732,"domain_scores_codex":[0.9987828,0.0003402029,0.000298812,0.0002605677,0.0001897293,0.0001279183],"domain_scores_gemma":[0.9995757,0.0001077995,0.0000865838,0.0001831012,0.000001168391,0.00004563382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003491166,0.0009153054,0.9759904,0.000007185521,0.000004221382,0.00003335056,0.0017034,0.00000649328,0.01882673,0.0001203516,0.000001968079,0.002355748],"study_design_scores_gemma":[0.001610497,0.0003016436,0.9822668,0.00001190621,0.000007617861,0.00001812877,0.0008632314,0.0002320148,0.01102802,0.003545772,0.000006828737,0.0001075341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983291,0.000001348864,0.0006441617,0.00009050519,0.00002682859,0.0004129395,0.00001633668,0.000004210754,0.0004745508],"genre_scores_gemma":[0.9996853,0.00000185818,0.0002249866,0.00002720217,0.000003233536,0.000008882498,4.827786e-7,0.000003524083,0.00004448694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05219299,"threshold_uncertainty_score":0.9994431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287763342151701,"score_gpt":0.2589489017883727,"score_spread":0.2360712683668557,"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."}}