{"id":"W2106295490","doi":"10.1139/t03-033","title":"The application of dynamic programming to slope stability analysis","year":2003,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slip (aerodynamics); Slope stability analysis; Slope stability; Mathematics; Limit (mathematics); Limit analysis; Dynamic programming; Finite element method; Mathematical optimization; Linear programming; Factor of safety; Stability (learning theory); Computer science; Geotechnical engineering; Structural engineering; Mathematical analysis; Geology; Upper and lower bounds; Engineering; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005690345,0.0006567924,0.0006629011,0.0006382415,0.0003969653,0.0007030067,0.0005491732,0.0004253908,0.001678078],"category_scores_gemma":[0.002604778,0.00045472,0.0004772948,0.0007390312,0.0007936111,0.0005770389,0.0007991669,0.0008567655,0.0002314164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005783075,"about_ca_system_score_gemma":0.0009095806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004381257,"about_ca_topic_score_gemma":0.003063115,"domain_scores_codex":[0.9996825,0.0001418931,0.00001172692,0.00004250891,0.00009673715,0.00002465042],"domain_scores_gemma":[0.9991199,0.000680813,0.00004476273,0.00003255518,0.0001029997,0.00001885584],"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":[0.00002563175,0.00002386938,0.0004332207,0.00008027194,0.00002323848,0.00006321128,0.00006333275,0.8818067,0.002626591,0.02407002,0.0002688521,0.09051504],"study_design_scores_gemma":[0.000005224288,0.00002630395,0.0001617591,0.00001313247,0.000005065355,0.00003321249,0.00001483009,0.9788198,0.001104504,0.0185059,0.001302868,0.000007348368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01688747,0.0002549976,0.9797145,0.00008985426,0.00001167148,0.0000240141,0.00001532208,0.000100913,0.002901381],"genre_scores_gemma":[0.5194826,0.001172156,0.4752784,0.00004919111,0.00003750434,0.0002779064,0.00005680912,0.0001393494,0.003506099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004381257,"threshold_uncertainty_score":0.008711517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004830044927635146,"score_gpt":0.202224159723607,"score_spread":0.1973941147959719,"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."}}