{"id":"W2183039802","doi":"","title":"EFFECTS OF TIME-STEP SIZE ON THE EFFICIENCY OF DISCONTINIOUS DEFORMATION ANALYSIS","year":2010,"lang":"en","type":"article","venue":"ISRM International Symposium - 6th Asian Rock Mechanics Symposium","topic":"Numerical methods in engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Rocscience (Canada); Schlumberger (Canada)","funders":"","keywords":"Discontinuous Deformation Analysis; Stability (learning theory); Deformation (meteorology); Applied mathematics; Scheme (mathematics); Mathematical optimization; Computer science; Mathematics; Finite element method; Algorithm; Structural engineering; Geology; Mathematical analysis; Engineering","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":[0.004688326,0.0005747996,0.0006128842,0.000534961,0.0005589739,0.0009486137,0.0008141134,0.000833975,0.00279112],"category_scores_gemma":[0.03187795,0.0003773158,0.0003755873,0.000553161,0.001049462,0.001277164,0.001001484,0.00113739,0.0004377131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000369551,"about_ca_system_score_gemma":0.0009091976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706085,"about_ca_topic_score_gemma":0.002205097,"domain_scores_codex":[0.9981716,0.0008298101,0.0001582063,0.0001275812,0.0005766011,0.0001361186],"domain_scores_gemma":[0.9412415,0.05295913,0.0008385273,0.002762305,0.00190417,0.0002943988],"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":[0.004733693,0.0007501593,0.01885265,0.0009032866,0.0002056951,0.001214493,0.001218381,0.5615087,0.1498519,0.05181663,0.001778554,0.2071659],"study_design_scores_gemma":[0.0001601944,0.0003870627,0.004102729,0.00008118644,0.00006534615,0.0001829256,0.0001475273,0.8942425,0.09415929,0.004461966,0.001955453,0.00005390192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6420469,0.002304183,0.3349996,0.001267926,0.0002119044,0.0001607016,0.0001769046,0.001095687,0.0177361],"genre_scores_gemma":[0.9128585,0.0004894023,0.08428359,0.0001071051,0.0000296291,0.00008478335,0.00006976078,0.0003806113,0.001696728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004688326,"threshold_uncertainty_score":0.02479452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002737038712788315,"score_gpt":0.2081550671085354,"score_spread":0.205418028395747,"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."}}