{"id":"W2891047213","doi":"10.1155/2018/8193638","title":"Damage Evaluation for Rock Burst Proneness of Deep Hard Rock under Triaxial Cyclic Loading","year":2018,"lang":"en","type":"article","venue":"Advances in Civil Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Rock burst; Geology; Geotechnical engineering; Dissipation; Excavation; Mining engineering; Engineering","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":[0.0003789423,0.0002016892,0.0002726557,0.0002105218,0.00004858148,0.0000179361,0.000174319,0.00009328476,0.00001870674],"category_scores_gemma":[0.0001184974,0.0002288967,0.00006509204,0.0002491542,0.000004009471,0.0004356937,0.00003396386,0.0001228969,0.000003760613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544547,"about_ca_system_score_gemma":0.00001719294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003245103,"about_ca_topic_score_gemma":0.0001448427,"domain_scores_codex":[0.9987765,0.000009978315,0.0003918824,0.0002399246,0.0002253588,0.0003563725],"domain_scores_gemma":[0.9994745,0.00009090847,0.00005458794,0.0002157185,0.0001125292,0.00005179294],"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":[0.00001472471,0.00001056674,0.00001509464,0.0002067457,0.00001679519,2.682114e-7,0.000160961,0.956206,0.03853662,0.0006344141,0.000004346201,0.004193431],"study_design_scores_gemma":[0.0008549252,0.0000557582,0.0000480398,0.0001784029,0.00002524554,0.000001366629,0.00006213306,0.9615086,0.03502806,0.001019438,0.0009746526,0.0002433299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1184967,0.002172478,0.877266,0.000005541938,0.001150243,0.0004422868,0.000005496664,0.0001327444,0.0003284606],"genre_scores_gemma":[0.9939755,0.00020221,0.005227366,0.000005583669,0.0003361155,0.0001615096,0.00001292617,0.00006912903,0.000009692912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8754787,"threshold_uncertainty_score":0.9334135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950580714616799,"score_gpt":0.2711178606277662,"score_spread":0.2516120534815982,"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."}}