{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005349802,0.0004412668,0.0004109298,0.001166617,0.0005267941,0.001226102,0.0006880386,0.000868895,0.001274172],"category_scores_gemma":[0.001850017,0.0002639752,0.0005942723,0.0007099041,0.0008134918,0.0005762137,0.0005977528,0.0004550462,0.000131699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146838,"about_ca_system_score_gemma":0.0005818412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02570973,"about_ca_topic_score_gemma":0.01392622,"domain_scores_codex":[0.9998197,0.00004076922,0.0000157046,0.00003332717,0.00005392074,0.00003659366],"domain_scores_gemma":[0.9990746,0.0004659637,0.0001851695,0.00007344475,0.0001320009,0.00006877856],"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":[0.00003343574,0.00004356661,0.01238277,0.00003719885,0.00001784422,0.00008245255,0.0001217069,0.9796538,0.002881096,0.001666357,0.00009841446,0.002981325],"study_design_scores_gemma":[0.000002685781,0.00001428284,0.004370491,0.000005389672,0.000003003526,0.00001274981,0.00005495735,0.9947963,0.0002751505,0.000346381,0.0001104368,0.000008173014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694675,0.0001503294,0.02479446,0.0001106078,0.000009070286,0.0000686413,0.0004613758,0.0002071792,0.00473095],"genre_scores_gemma":[0.9963232,0.00004264243,0.003184874,0.000005792552,0.000002174275,0.00002511595,0.0001000837,0.00001214334,0.0003039554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02570973,"threshold_uncertainty_score":0.05112016,"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."}}