{"id":"W2765252388","doi":"10.1139/cgj-2017-0256","title":"Influence of strain energy released from a test machine on rock failure process","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Strain energy; Geotechnical engineering; Energy (signal processing); Finite element method; Instability; Deformation (meteorology); Stiffness; Rock mechanics; Failure mechanism; Rock mass classification; Process (computing); Geology; Structural engineering; Engineering; Mechanics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000556051,0.0003800314,0.000440488,0.0004849875,0.0003554479,0.0005048768,0.000356351,0.0004328148,0.002165093],"category_scores_gemma":[0.002461757,0.0002459321,0.0002872942,0.0003001976,0.000645652,0.0005783743,0.0003086395,0.0003345508,0.0002196709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002482384,"about_ca_system_score_gemma":0.0002533433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007635811,"about_ca_topic_score_gemma":0.001004485,"domain_scores_codex":[0.9995803,0.00005764045,0.00003604605,0.00007543903,0.000142674,0.0001078721],"domain_scores_gemma":[0.9981183,0.001228615,0.0001763007,0.0001957854,0.00018166,0.00009933169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002819442,0.0003431579,0.03204205,0.00033615,0.00005437301,0.001344168,0.0003744596,0.09606735,0.8292952,0.000526547,0.00034942,0.03644755],"study_design_scores_gemma":[0.00007057309,0.002770468,0.1321252,0.00004662218,0.0001075082,0.0007515746,0.0007673638,0.2087497,0.6526429,0.0003487482,0.00151334,0.0001058984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969164,0.0001452239,0.002131897,0.00002473659,0.00001239851,0.000005693411,0.00003357363,0.00004284662,0.0006872814],"genre_scores_gemma":[0.9995384,0.00003501422,0.0002327829,0.000006043753,0.000001366625,0.000003074484,0.00001755321,0.000008416133,0.0001573654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002165093,"threshold_uncertainty_score":0.007242918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007484199484942916,"score_gpt":0.2054456707248352,"score_spread":0.1979614712398922,"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."}}