{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007393333,0.0006114932,0.0005045973,0.001830557,0.0002753321,0.0006582697,0.0005666304,0.0005910089,0.001383654],"category_scores_gemma":[0.00220071,0.0002073516,0.0004523967,0.0005875169,0.0006013666,0.0007906815,0.0005759312,0.000270423,0.0002727679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004023193,"about_ca_system_score_gemma":0.0005448332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721073,"about_ca_topic_score_gemma":0.002003658,"domain_scores_codex":[0.9991627,0.00008113308,0.00006236663,0.0001279089,0.0004980594,0.00006781367],"domain_scores_gemma":[0.9979431,0.0007044673,0.0002349069,0.0001317398,0.0008730829,0.0001126697],"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":[0.0005556464,0.0002703513,0.05354004,0.0008039942,0.0001445494,0.0006668888,0.000212168,0.4277529,0.3453186,0.005780787,0.00133014,0.163624],"study_design_scores_gemma":[0.00003969009,0.0003680985,0.0552147,0.00006185251,0.00008936149,0.0003227679,0.000166511,0.8095343,0.1294911,0.002214882,0.002349191,0.0001475985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7841345,0.001070901,0.1980521,0.0001653277,0.00009611126,0.0001274548,0.0002957066,0.0004014245,0.01565647],"genre_scores_gemma":[0.9939009,0.0001054708,0.005325607,0.00001462535,0.000008844004,0.00002209341,0.00006368831,0.00001197156,0.0005468258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001830557,"threshold_uncertainty_score":0.004628837,"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."}}