{"id":"W1928216909","doi":"10.7939/r33k6x","title":"Linkage of Truck-and-shovel Operations to Short-term Mine Plans Using Discrete Event Simulation","year":2013,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Canadian Natural Resources","funders":"","keywords":"Shovel; Truck; Haulage; Engineering; Integer programming; Discrete event simulation; Linear programming; Operations research; Computer science; Simulation; Algorithm; Automotive 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001466044,0.0005695712,0.0006857223,0.0007547695,0.0003965695,0.001372619,0.001129485,0.0007508271,0.002002504],"category_scores_gemma":[0.005270126,0.0005915426,0.0006867334,0.0006642564,0.0005354071,0.001122375,0.0008166591,0.00086086,0.0001407413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960618,"about_ca_system_score_gemma":0.001949965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03387855,"about_ca_topic_score_gemma":0.01708333,"domain_scores_codex":[0.9993761,0.0002780928,0.00003741096,0.0001061803,0.0001219087,0.00008031398],"domain_scores_gemma":[0.9959118,0.003160916,0.0003475639,0.0002126241,0.0002349213,0.0001321308],"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":[0.00001974039,0.00001900877,0.0006300466,0.000004890401,0.000009425011,0.00001129284,0.00001287415,0.9976158,0.00008888654,0.0007132983,0.00001540537,0.0008592917],"study_design_scores_gemma":[0.000003225419,0.000008824651,0.0001084101,9.920585e-7,0.000002039585,0.000001529692,0.000007325219,0.9994087,0.00008388812,0.0003265687,0.00004670305,0.000001778002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5507981,0.0001339167,0.4388422,0.0002393694,0.0000344029,0.0002880297,0.0003858533,0.0005865394,0.008691559],"genre_scores_gemma":[0.9803938,0.00006694622,0.01842545,0.000009870954,0.000003883094,0.0000947321,0.0001410737,0.00002088689,0.0008432906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03387855,"threshold_uncertainty_score":0.06736273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269446065648598,"score_gpt":0.1979573988482473,"score_spread":0.1852629381917613,"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."}}