{"id":"W4320069818","doi":"10.56952/arma-dfne-22-0030","title":"Probabilistic Step-Path Slope Stability Analysis Using Spatially Constrained DFN Models – A Case Study at Tasiast Mine","year":2022,"lang":"en","type":"article","venue":"","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Rock mass classification; Geology; Borehole; Block (permutation group theory); Geotechnical engineering; Probabilistic logic; Stability (learning theory); Fracture (geology); Finite element method; Structural engineering; Geometry; Engineering; Computer science; Mathematics; Statistics","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":[0.0007887746,0.0004401242,0.00042038,0.0006849245,0.0004613624,0.0007153139,0.0009907674,0.001190159,0.0009913245],"category_scores_gemma":[0.00188256,0.0004910658,0.0007755606,0.000608009,0.0005976406,0.0004808886,0.0005309879,0.0004604586,0.00009237479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807767,"about_ca_system_score_gemma":0.001192678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1063171,"about_ca_topic_score_gemma":0.07532132,"domain_scores_codex":[0.9997572,0.00008571312,0.00001658797,0.00005930011,0.0000491259,0.00003205029],"domain_scores_gemma":[0.9989147,0.0006456797,0.0001200752,0.00007459751,0.000202138,0.00004293963],"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":[0.000008501018,0.00001249799,0.002300971,0.000005624401,0.000005101835,0.00007542644,0.00001970289,0.9963284,0.0001684691,0.0002683772,0.00002046936,0.000786434],"study_design_scores_gemma":[0.000002472136,0.000007816762,0.0007405023,0.000001416237,0.000002583978,0.00001113519,0.00001379492,0.9989335,0.00007429151,0.0001640116,0.00004500382,0.000003511195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694188,0.00004886952,0.02806993,0.0000818647,0.000004927778,0.00004158358,0.0003482206,0.000088622,0.001897054],"genre_scores_gemma":[0.9945458,0.00002488084,0.004875877,0.000004544878,0.000001611287,0.00002219946,0.0001047566,0.000008994276,0.0004112519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1063171,"threshold_uncertainty_score":0.2113965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135040372952286,"score_gpt":0.2575127917351728,"score_spread":0.21616238800565,"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."}}