{"id":"W2114024787","doi":"10.1139/cgj-2014-0252","title":"A damage constitutive model for rock mass with persistent joints considering joint shear strength","year":2015,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oklahoma Agricultural Experiment Station","keywords":"Rock mass classification; Joint (building); Constitutive equation; Mesoscopic physics; Anisotropy; Geotechnical engineering; Geological Strength Index; Shear (geology); Geology; Direct shear test; Rock mechanics; Shear strength (soil); Mechanics; Materials science; Structural engineering; Composite material; Engineering; Finite element method; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003619619,0.0002075416,0.0002710012,0.0002076758,0.0002118692,0.0001138878,0.0001673954,0.0001501964,0.00001482272],"category_scores_gemma":[0.0001179878,0.0001911544,0.0001371356,0.0000857836,0.0000259117,0.0001435879,0.00002050406,0.0005650313,0.000007689137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007089659,"about_ca_system_score_gemma":0.001063987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003934814,"about_ca_topic_score_gemma":0.001790704,"domain_scores_codex":[0.9986662,0.0000154965,0.0003100459,0.0001888111,0.0002097014,0.0006097877],"domain_scores_gemma":[0.9983066,0.00002185613,0.0000461979,0.000189784,0.0002130856,0.001222502],"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":[0.000009664922,0.000004738252,0.000001651578,0.00001240706,0.00006593197,0.00008302008,0.0001364536,0.9957986,0.0004986749,0.000996337,0.002048129,0.0003443678],"study_design_scores_gemma":[0.0006488714,0.0001097377,0.000001099298,0.0001379781,0.00005001836,0.0003922645,0.0003990065,0.9938091,0.0003325782,0.001685245,0.002162023,0.0002720969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02254117,0.0002310205,0.9753705,0.0003576805,0.0002456566,0.0002809386,0.00006894176,0.0001052843,0.0007988435],"genre_scores_gemma":[0.9801701,0.00002532458,0.01934405,0.000189337,0.0001136949,0.00001793119,0.000004704589,0.00004810806,0.00008678118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9576289,"threshold_uncertainty_score":0.7795052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04537054300595127,"score_gpt":0.2173087435684422,"score_spread":0.1719382005624909,"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."}}