{"id":"W2938076086","doi":"10.1002/ese3.337","title":"Rock strength criterion considering the effect of hydrostatic stress on lode angle effect","year":2019,"lang":"en","type":"article","venue":"Energy Science & Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Research and Innovation Foundation; State Key Laboratory for GeoMechanics and Deep Underground Engineering; National Natural Science Foundation of China","keywords":"Lode; Hydrostatic stress; Hydrostatic equilibrium; Stress (linguistics); Geotechnical engineering; Envelope (radar); Geology; Materials science; Computer science; Structural engineering; Engineering; Finite element method; 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":[0.0004370136,0.0002402468,0.0002632776,0.0002026995,0.00009314798,0.00006433809,0.0003563554,0.0000489995,0.00001232517],"category_scores_gemma":[0.00008609528,0.0001768934,0.0000728774,0.000385568,0.00001784322,0.0002140318,0.0000787386,0.0001723393,0.000009992218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000791256,"about_ca_system_score_gemma":0.0000159112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002437608,"about_ca_topic_score_gemma":0.000003157024,"domain_scores_codex":[0.9986815,0.00002115684,0.0002188166,0.0002653688,0.0003745347,0.0004385706],"domain_scores_gemma":[0.9991606,0.0002956001,0.00003499525,0.000396459,0.0000227062,0.00008956504],"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":[0.00000413696,0.000002273002,0.00005913664,0.00003090373,0.000008151323,0.000001761975,0.0000734369,0.7477802,0.2474735,0.00388624,0.000003334251,0.0006769227],"study_design_scores_gemma":[0.0001531303,0.0001779834,0.00002948099,0.00012341,0.000006326796,0.000002761694,0.000008595232,0.5386048,0.4604459,0.000005284927,0.0003298917,0.0001124377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768492,0.0002607645,0.02125869,0.000005964548,0.0009109747,0.0001369645,0.000004234521,0.0001748959,0.0003983131],"genre_scores_gemma":[0.9996657,0.00001872236,0.0001695637,0.000009218114,0.00004916725,0.00002054941,0.000002378301,0.00004016821,0.00002458116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2129724,"threshold_uncertainty_score":0.7213502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003346046611125891,"score_gpt":0.1914911462138434,"score_spread":0.1881450996027175,"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."}}