{"id":"W960732084","doi":"10.17265/1934-7359/2013.07.013","title":"Estimating Probability of Instability of Haulage Drift with Respect to Mining Sequences","year":2013,"lang":"en","type":"article","venue":"Journal of Civil Engineering and Architecture","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vale (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haulage; Mining engineering; Stability (learning theory); Surface mining; Monte Carlo method; Underground mining (soft rock); Engineering; Geology; Computer science; Coal mining; Statistics; Mathematics; Structural engineering; Machine learning; Waste management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001646718,0.0003339604,0.0004041852,0.001956344,0.000294673,0.0005816056,0.0004300331,0.0006260378,0.0004656681],"category_scores_gemma":[0.009362221,0.0002614143,0.0004358584,0.0006597086,0.0004488495,0.0005125001,0.000467856,0.0003639233,0.0001018045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006510883,"about_ca_system_score_gemma":0.0003844203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145526,"about_ca_topic_score_gemma":0.008925634,"domain_scores_codex":[0.9994996,0.0001022033,0.00004718154,0.0001200577,0.0001599239,0.00007113325],"domain_scores_gemma":[0.9884433,0.008206083,0.001813071,0.0003865068,0.0009060759,0.0002448652],"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":[0.0005499394,0.00008414369,0.3628284,0.00004366966,0.00009602329,0.000273262,0.0001966589,0.6122572,0.008378073,0.0004614182,0.00007898713,0.01475221],"study_design_scores_gemma":[0.000004522238,0.0001986843,0.1067662,0.000006215575,0.00002466275,0.0001138638,0.0001016278,0.8878469,0.004671954,0.0001791208,0.00005710898,0.00002909898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933047,0.00002930065,0.006340994,0.000007596659,0.000001056644,0.000009661887,0.00006972779,0.00003882713,0.0001981546],"genre_scores_gemma":[0.9983299,0.00001533437,0.001441101,8.812951e-7,9.397348e-7,0.000004273408,0.0001101677,0.000003702399,0.00009371689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01145526,"threshold_uncertainty_score":0.0227772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007712961359930508,"score_gpt":0.1943628315274222,"score_spread":0.1866498701674917,"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."}}