{"id":"W2976039609","doi":"10.1016/j.jrmge.2019.06.007","title":"Damage smear method for rock failure process analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Rock Mechanics and Geotechnical Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory for GeoMechanics and Deep Underground Engineering; China University of Mining and Technology; National Natural Science Foundation of China","keywords":"Mesoscopic physics; Representative elementary volume; Coalescence (physics); Finite element method; Structural engineering; Solver; Scale (ratio); Constitutive equation; Geology; Rock mechanics; Geotechnical engineering; Computer science; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002959148,0.0004721806,0.000388649,0.0008726589,0.0002647732,0.0003092593,0.0007464656,0.0004456968,0.004823615],"category_scores_gemma":[0.000589341,0.0002213467,0.0006804123,0.0004694423,0.0002676596,0.0004533201,0.0004546501,0.0005433694,0.0008137801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000331387,"about_ca_system_score_gemma":0.0006740273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002867077,"about_ca_topic_score_gemma":0.00268179,"domain_scores_codex":[0.9998605,0.00001911255,0.000008757336,0.000022823,0.00007692604,0.00001195984],"domain_scores_gemma":[0.9997824,0.00006867995,0.00003238397,0.00003441175,0.00006956625,0.00001251306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000870146,0.00009528536,0.005101615,0.0003338112,0.0000841228,0.0002197284,0.0003030854,0.6617141,0.05050366,0.0317212,0.004205905,0.2456304],"study_design_scores_gemma":[0.000004344969,0.00001700795,0.0005356455,0.000007904912,0.000006976746,0.00005258373,0.00001467825,0.9914809,0.002272581,0.00209926,0.003500823,0.000007256578],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006871104,0.00008642802,0.9909136,0.00002057439,0.00001514433,0.00002871061,0.0001006059,0.0007927002,0.001170979],"genre_scores_gemma":[0.4354726,0.0003875046,0.5549852,0.0000638776,0.0000380577,0.0003599052,0.0006690022,0.0004007024,0.00762319],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004823615,"threshold_uncertainty_score":0.01613665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006340556924188309,"score_gpt":0.2324820614285336,"score_spread":0.2261415045043453,"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."}}