{"id":"W2777504596","doi":"10.1016/j.enggeo.2017.12.020","title":"Water infiltration characteristics in loess associated with irrigation activities and its influence on the slope stability in Heifangtai loess highland, China","year":2017,"lang":"en","type":"article","venue":"Engineering Geology","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"China Scholarship Council; Fundamental Research Funds for the Central Universities; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Infiltration (HVAC); Loess; Landslide; Geotechnical engineering; Geology; Stage (stratigraphy); Water content; Slope stability; Soil science; Irrigation; Soil water; Hydrology (agriculture); Safety factor; Environmental science; Geomorphology; Materials science; Ecology","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":[0.000295627,0.00009896716,0.0001252388,0.00002560344,0.00009747615,0.0000361121,0.0001169469,0.00009948853,0.00009288314],"category_scores_gemma":[0.0001284886,0.00005496745,0.000007983661,0.00003738727,0.00008283761,0.0002089935,0.00007113445,0.0002279718,0.000007972967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007781691,"about_ca_system_score_gemma":0.000004881542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001898894,"about_ca_topic_score_gemma":0.0005707734,"domain_scores_codex":[0.9993979,0.00003715274,0.000123944,0.0001579101,0.00008751662,0.0001955544],"domain_scores_gemma":[0.9996955,0.0000622974,0.00005398012,0.0001609308,0.000004361481,0.00002296789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000593988,0.00004882109,0.953407,0.00001502228,0.00001260489,0.00001963938,0.001850196,0.03410302,0.009638058,0.0003388758,0.000002149122,0.0005051891],"study_design_scores_gemma":[0.0002583064,0.00005319328,0.9829073,0.00003374451,0.000002856955,0.000002658361,0.00001449871,0.01327337,0.003246538,0.00007235371,0.00004289257,0.00009230888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988838,0.000004028028,0.00002672829,0.0005625456,0.0000730069,0.0001393457,0.000002959053,0.00001503874,0.0002925742],"genre_scores_gemma":[0.999869,0.00001244605,0.000009116026,0.00002218035,0.0000107065,0.0000174334,0.000009553431,0.000006596944,0.00004292647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02950025,"threshold_uncertainty_score":0.2241507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005379334839178133,"score_gpt":0.183200747348491,"score_spread":0.1778214125093129,"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."}}