{"id":"W4384928606","doi":"10.1061/9780784484999.012","title":"Characteristic Strength of a Slope with Spatial Variability and Cross-Correlation","year":2023,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rocscience (Canada)","funders":"","keywords":"Probabilistic logic; Correlation; Stability (learning theory); Matching (statistics); Spatial correlation; Slope stability; Statistics; Mathematics; Safety factor; Spatial variability; Computer science; Geology; Geotechnical engineering; Geometry","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":[0.000108666,0.00006255596,0.0001102354,0.00005126195,0.00001290196,0.00001163149,0.00003021635,0.0000390746,0.00005033206],"category_scores_gemma":[0.00004909576,0.00004993723,0.00001738807,0.0002294848,0.0000219926,0.00003896409,0.00001180912,0.00006420886,0.000008772901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006897622,"about_ca_system_score_gemma":0.00000326879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003595288,"about_ca_topic_score_gemma":0.000003638289,"domain_scores_codex":[0.9996387,0.000004336571,0.0001182698,0.00008413987,0.00006732137,0.0000872735],"domain_scores_gemma":[0.9997763,0.00005424728,0.00001095455,0.0001074944,0.00001974573,0.00003122659],"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":[0.000007789656,0.00001355824,0.01786142,0.0001603098,0.00005358092,0.000002364754,0.00005681574,0.9641677,0.00303015,0.0003565059,0.00001834888,0.01427143],"study_design_scores_gemma":[0.00009004699,0.00001645084,0.2163282,0.00001007661,0.00001376804,6.679671e-7,0.000003588927,0.7830536,0.0003258917,0.00003754442,0.00006196953,0.00005819512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327236,0.000002936179,0.1663075,0.00001050256,0.00003096227,0.00003246802,0.000006634104,0.0003679863,0.0005173913],"genre_scores_gemma":[0.9994475,0.000009269458,0.0003982293,0.000001134941,0.00001438152,0.000004278679,0.00001411547,0.000008902694,0.0001021641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1984668,"threshold_uncertainty_score":0.2036381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003971793120869057,"score_gpt":0.1945513125192146,"score_spread":0.1905795193983456,"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."}}