{"id":"W2611036313","doi":"","title":"Quantitative analysis of haulage system instability in deep hard rock mines using numerical modelling","year":2016,"lang":"en","type":"article","venue":"3rd International Symposium on Mine Safety Science and Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Haulage; Stoping; Geology; Underground mining (soft rock); Mining engineering; Shield; Pillar; Displacement (psychology); Stability (learning theory); Geotechnical engineering; Engineering; Coal mining; Petrology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004914764,0.0001573009,0.0002761869,0.0005920832,0.00004983419,0.00002686743,0.0002329886,0.0000447264,0.000005470325],"category_scores_gemma":[0.00006741504,0.0001294929,0.00006828722,0.0008820862,0.00002161713,0.0003703642,0.00006014913,0.00006615437,0.00000106346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003741617,"about_ca_system_score_gemma":0.00002000933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006279591,"about_ca_topic_score_gemma":0.0000118878,"domain_scores_codex":[0.9986095,0.000008205104,0.0004170308,0.0003022806,0.0004173394,0.0002456362],"domain_scores_gemma":[0.9994489,0.00009576928,0.00004925018,0.0001526688,0.000172312,0.00008110914],"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":[0.00001735515,0.000009995319,0.000263365,0.00002532345,0.00005356608,0.000001397967,0.0001588306,0.8217839,0.1739171,0.003593934,1.960123e-7,0.0001749933],"study_design_scores_gemma":[0.0001825744,0.00002696187,0.0004945164,0.0001580338,0.0000338178,0.000002457294,0.00009336392,0.9928773,0.005930176,0.00001103977,0.00003525868,0.0001545163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5141503,0.00003320528,0.4853648,0.00003914219,0.000208781,0.00004658594,0.00001196667,0.00003124427,0.0001139559],"genre_scores_gemma":[0.9926184,0.00006264251,0.007260275,0.000005222725,0.00002698877,0.000005351531,0.00000277644,0.00001407837,0.000004280097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4784681,"threshold_uncertainty_score":0.5280568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930415942169299,"score_gpt":0.2397073526072281,"score_spread":0.2204031931855351,"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."}}