{"id":"W3083010401","doi":"10.1016/j.ijrmms.2020.104430","title":"A shear strength model for anisotropic blocky rock masses with persistent joints","year":2020,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Excellence in Mining Innovation; Laurentian University","funders":"State Key Laboratory for GeoMechanics and Deep Underground Engineering; China University of Mining and Technology; National Natural Science Foundation of China","keywords":"Rock mass classification; Geological Strength Index; Cohesion (chemistry); Direct shear test; Geology; Geotechnical engineering; Anisotropy; Shear (geology); Shear strength (soil); Joint (building); Weighting; Hoek–Brown failure criterion; Structural engineering; Engineering; Petrology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001537918,0.0001181118,0.0001670927,0.0001063217,0.0001160035,0.0001170856,0.0003083136,0.00003509664,0.000005747246],"category_scores_gemma":[0.0000469176,0.00009233706,0.00008123231,0.0000764349,0.000002947072,0.0002133334,0.00004942308,0.00009373713,4.678757e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002838012,"about_ca_system_score_gemma":0.00008218982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.290167e-7,"about_ca_topic_score_gemma":0.000002073816,"domain_scores_codex":[0.9990072,0.000005458972,0.0002685704,0.0001482096,0.0004064337,0.0001640962],"domain_scores_gemma":[0.9994445,0.00003654531,0.0001214182,0.00003624784,0.0002356333,0.0001256087],"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":[0.00002934067,0.00001078262,0.000009368413,0.00001391836,0.00008782443,0.000005301815,0.0008365922,0.9935073,0.001759194,0.002680282,0.0001521886,0.0009079648],"study_design_scores_gemma":[0.0004692987,0.000493057,5.598055e-7,0.00009353658,0.00003409256,0.0000686709,0.001221057,0.9954146,0.0007362086,0.0008380694,0.0005159356,0.0001149476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2777464,0.0004005977,0.7207721,0.0005962508,0.0003416772,0.0000584015,0.00001181068,0.00001921809,0.00005354147],"genre_scores_gemma":[0.9686093,0.0002473137,0.03078277,0.0001685658,0.0001536837,0.0000025961,8.75099e-7,0.00001334392,0.00002157061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6908629,"threshold_uncertainty_score":0.3765396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472204548341277,"score_gpt":0.249249161416923,"score_spread":0.2145271159335103,"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."}}