{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004973522,0.0001931907,0.000311578,0.001093196,0.0006878178,0.0007669386,0.0006834659,0.0007747355,0.0007541785],"category_scores_gemma":[0.0007133367,0.0003347608,0.0004589077,0.001252909,0.0007612801,0.0005980284,0.0005374725,0.0002496801,0.00007437004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048627,"about_ca_system_score_gemma":0.0007982186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04561101,"about_ca_topic_score_gemma":0.04232327,"domain_scores_codex":[0.9998228,0.00002791903,0.00001540852,0.0000566009,0.00002676635,0.00005051299],"domain_scores_gemma":[0.999562,0.0001595094,0.00009923868,0.0000421974,0.00009643065,0.00004060894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002406439,0.0002735855,0.9072041,0.00007605802,0.0002144575,0.003568887,0.001835881,0.05497022,0.01662686,0.003346577,0.0008037998,0.01083895],"study_design_scores_gemma":[0.00001870814,0.00007027919,0.8471827,0.00001182498,0.00008366724,0.0003187287,0.002134122,0.1473744,0.001282088,0.000984441,0.0004843427,0.00005457197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990968,0.00002409844,0.0003031526,0.00005270073,0.000001567044,0.00000329875,0.00007202841,0.00001805725,0.0004283624],"genre_scores_gemma":[0.9997643,0.00001133942,0.00007542967,0.000002091617,0.000001137954,0.000001745732,0.00003498071,0.000001368768,0.0001076757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04561101,"threshold_uncertainty_score":0.09069109,"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."}}