{"id":"W2770862907","doi":"10.1016/b978-0-12-805054-5.00015-9","title":"Excavation Vulnerability and Selection of Effective Rock Support to Mitigate Rockburst Damage","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Vulnerability (computing); Excavation; Engineering; Rock mass classification; Geotechnical engineering; Forensic engineering; Computer science; Computer security","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":[0.0004009899,0.0004734841,0.00039767,0.0006243209,0.0003532321,0.001161073,0.0006730087,0.0007371964,0.007926576],"category_scores_gemma":[0.001440064,0.0002338066,0.0002460334,0.0004634806,0.0005130764,0.00100976,0.0009913184,0.0003716266,0.001055501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003108976,"about_ca_system_score_gemma":0.0004562935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008399761,"about_ca_topic_score_gemma":0.002083618,"domain_scores_codex":[0.9997749,0.00003134527,0.00001272074,0.00004509958,0.00009006888,0.00004584187],"domain_scores_gemma":[0.9996682,0.0001476011,0.00006756833,0.0000262671,0.00005694644,0.00003337444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004790624,0.000156879,0.02948908,0.0006203686,0.00007797311,0.001090008,0.0007460898,0.3575686,0.06258405,0.04107739,0.007367478,0.498743],"study_design_scores_gemma":[0.00004284663,0.0009134923,0.05872442,0.0005202846,0.0001178055,0.002309794,0.004600656,0.77354,0.03664374,0.08972453,0.03274408,0.0001184026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.617431,0.002070759,0.2686685,0.00103042,0.0001196128,0.00009573778,0.0004603474,0.0004029047,0.1097208],"genre_scores_gemma":[0.9639592,0.0007458768,0.02209067,0.00002911536,0.00002113393,0.00002972335,0.0001357854,0.00005604943,0.01293243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007926576,"threshold_uncertainty_score":0.02651703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102023472815558,"score_gpt":0.232193720837114,"score_spread":0.2211734861089584,"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."}}