{"id":"W4211173004","doi":"10.1201/9781003188339-68","title":"A stochastic spatial modeling approach for pit slope stability analysis using 3D limit equilibrium analysis","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Mitacs","keywords":"Stability (learning theory); Limit (mathematics); Slope stability analysis; Limit analysis; Geology; Statistical physics; Computer science; Mathematics; Geotechnical engineering; Slope stability; Physics; Mathematical analysis; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004239391,0.0004550347,0.0004372542,0.0006184679,0.0003784531,0.0007466901,0.0009122973,0.0005190686,0.001665694],"category_scores_gemma":[0.0008730798,0.0004145992,0.0009215206,0.0005418773,0.0004762795,0.0004607442,0.0006880174,0.0004282489,0.0003244074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131466,"about_ca_system_score_gemma":0.0009989024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02628462,"about_ca_topic_score_gemma":0.02001215,"domain_scores_codex":[0.9998046,0.00005519938,0.00001099622,0.00003028801,0.0000834293,0.00001556281],"domain_scores_gemma":[0.9996589,0.0001686653,0.0000477333,0.00002672052,0.00008312895,0.0000146794],"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":[0.000003013239,0.000005047005,0.000300361,0.00001005001,0.000007752779,0.00002282335,0.00001987664,0.9876269,0.0007267764,0.007910977,0.0001134534,0.003253026],"study_design_scores_gemma":[4.475137e-7,0.000001701413,0.00003768655,0.000001019335,0.000001042888,0.000004453218,0.000002586872,0.9984311,0.00008145009,0.001131923,0.0003051611,0.000001328525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009863642,0.00005404257,0.9868413,0.00004565878,0.000007586384,0.00001664066,0.00008837655,0.0001792716,0.002903478],"genre_scores_gemma":[0.6369705,0.0003975738,0.355493,0.00006904061,0.0000332622,0.0002671328,0.0004129728,0.0002640461,0.006092537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02628462,"threshold_uncertainty_score":0.0522632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05759933009858473,"score_gpt":0.2524946130553392,"score_spread":0.1948952829567544,"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."}}