{"id":"W2891234191","doi":"10.1007/s10064-018-1377-4","title":"Research on the creep mechanism of Huangniba landslide in the Three Gorges Reservoir Area of China considering the seepage–stress coupling effect","year":2018,"lang":"en","type":"article","venue":"Bulletin of Engineering Geology and the Environment","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"China Geological Survey; National Natural Science Foundation of China","keywords":"Creep; Landslide; Geology; Geotechnical engineering; Drawdown (hydrology); Stress (linguistics); Stress field; Three gorges; Deformation (meteorology); Water level; Displacement (psychology); Finite element method; Groundwater; Materials science; Aquifer; Structural engineering; Engineering","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":[0.0002336882,0.0004389384,0.0004495296,0.001132058,0.0008316011,0.0007243655,0.0005528192,0.0004821835,0.0008494213],"category_scores_gemma":[0.000257748,0.0003476057,0.0004740095,0.000899488,0.0004737615,0.0007517891,0.0003973991,0.000233269,0.00006986591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005797253,"about_ca_system_score_gemma":0.001041457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02961649,"about_ca_topic_score_gemma":0.0389722,"domain_scores_codex":[0.999923,0.000006952394,0.000006601826,0.00001918428,0.00001515636,0.00002922885],"domain_scores_gemma":[0.9998684,0.00001695919,0.00002747792,0.000007981392,0.00005233679,0.00002676977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002104515,0.0002224923,0.8801659,0.0002273995,0.0002259277,0.004099992,0.002061493,0.04524981,0.04399643,0.002967884,0.0006264737,0.01994582],"study_design_scores_gemma":[0.00002312916,0.00008733908,0.8969554,0.0000209809,0.0001402889,0.0003164381,0.001620305,0.09813374,0.001526185,0.0006617358,0.0004823817,0.00003199767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991562,0.0000803825,0.0002675242,0.00004282613,0.000003802013,0.000004777588,0.00001962365,0.000006039524,0.0004187651],"genre_scores_gemma":[0.9996009,0.00008393241,0.00007793285,0.000004522703,0.000003049527,0.000002257812,0.00002092,0.000001537223,0.0002048293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02961649,"threshold_uncertainty_score":0.0588882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149019088016589,"score_gpt":0.2168105085033102,"score_spread":0.2053203176231443,"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."}}