{"id":"W2980907014","doi":"10.1007/s00603-019-01985-4","title":"Use of Probabilistic Numerical Modeling to Evaluate the Effect of Geomechanical Parameter Variability on the Probability of Open-Stope Failure: A Case Study of the Niobec Mine, Quebec (Canada)","year":2019,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Rock mass classification; Brittleness; Geotechnical engineering; Probabilistic logic; Monte Carlo method; Geology; Geomechanics; Instability; Ultimate tensile strength; Compressive strength; Stability (learning theory); Computer simulation; Factor of safety; Mathematics; Mechanics; Statistics; Computer science; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001747321,0.0003730813,0.0007942104,0.00006407345,0.0001100487,0.00002995453,0.000695815,0.0001204169,0.000007937372],"category_scores_gemma":[0.0009163445,0.0002068563,0.0001487298,0.000444242,0.000001807314,0.00009399364,0.000712869,0.000401855,2.423539e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001333528,"about_ca_system_score_gemma":0.0001133479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02692737,"about_ca_topic_score_gemma":0.02487406,"domain_scores_codex":[0.9974627,0.0002106671,0.0009563474,0.0004221622,0.0005880375,0.0003601183],"domain_scores_gemma":[0.9970382,0.001319584,0.0001542487,0.001173476,0.0002083538,0.0001061796],"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":[0.00008218415,0.00009520052,0.00005383853,0.0004658086,0.0001261901,0.000002351888,0.0004156884,0.9842216,0.01129786,0.003125533,0.000006727722,0.0001070306],"study_design_scores_gemma":[0.000471336,0.000565359,0.00001625867,0.0001964912,0.0001439709,0.00001869038,0.0002626661,0.9875662,0.01023121,0.0003047084,0.00001186625,0.0002112271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7454868,0.00002281614,0.2517351,0.00003468139,0.000244334,0.002438817,0.00001777536,0.00001740573,0.000002266295],"genre_scores_gemma":[0.9995177,0.000003104442,0.000311725,0.0000109521,0.00001555671,0.0000801514,9.66221e-7,0.00005359692,0.000006237479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2540309,"threshold_uncertainty_score":0.9929194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093067085139103,"score_gpt":0.2241298073954472,"score_spread":0.2031991365440562,"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."}}