{"id":"W3123083977","doi":"10.1139/cjce-2019-0783","title":"Stability analysis of double V-shaped gully embankment: dimension-reduced calculation method","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Dimension (graph theory); Stability (learning theory); Factor of safety; Levee; Safety factor; Slope stability analysis; Slope stability; Computer science; Geology; Mathematics; Geotechnical engineering; Mathematical optimization; Civil engineering; Structural engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002947519,0.0004951851,0.0004810498,0.0008494181,0.0003424405,0.000518747,0.0006595609,0.000420374,0.002080085],"category_scores_gemma":[0.0007153102,0.0002888933,0.0007638456,0.0004555473,0.0003475285,0.0004342145,0.0005272077,0.0004021084,0.0004482923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003994525,"about_ca_system_score_gemma":0.0007441956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009225238,"about_ca_topic_score_gemma":0.005507942,"domain_scores_codex":[0.999831,0.0000375896,0.0000102277,0.00003435358,0.00007379732,0.00001305305],"domain_scores_gemma":[0.9997928,0.00005769197,0.00002636275,0.00002262191,0.00009281848,0.000007811214],"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":[0.00004364227,0.00002234821,0.002565072,0.0001597064,0.00003274852,0.0002005721,0.0001731224,0.9019575,0.01665084,0.01245038,0.000928072,0.06481596],"study_design_scores_gemma":[0.000002385773,0.00000808204,0.0002244576,0.000004690633,0.000003894349,0.00002050008,0.00001204804,0.9978035,0.0006287416,0.0007598539,0.0005271527,0.000004720119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0378144,0.0002319322,0.9559215,0.00006437607,0.00002303511,0.00004133256,0.00008419274,0.000289572,0.005529595],"genre_scores_gemma":[0.8065652,0.0005444704,0.1875734,0.00003693682,0.00002876738,0.0001955874,0.0002524609,0.0001275376,0.004675615],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009225238,"threshold_uncertainty_score":0.01834309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279856113621097,"score_gpt":0.2220862661377073,"score_spread":0.2092877050014963,"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."}}