{"id":"W3214966336","doi":"10.17159/2411-9717/522/2021","title":"Truck dispatching in surface mines -Application of fuzzy linear programming","year":2021,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Truck; Shovel; Linear programming; Fuzzy logic; Operations research; Reduction (mathematics); Cost reduction; Computer science; Engineering; Transport engineering; Automotive engineering; Mechanical engineering; Mathematics; Business; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003963117,0.00009498447,0.0003194674,0.00006528147,0.00002411658,0.00001014149,0.0001674715,0.00005086212,0.000002742591],"category_scores_gemma":[0.00007614038,0.00007364225,0.0001114081,0.0001612241,0.00006415298,0.00008313451,0.00004926551,0.0001080987,1.888742e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002496767,"about_ca_system_score_gemma":0.00004620733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005479594,"about_ca_topic_score_gemma":0.000162979,"domain_scores_codex":[0.9991934,0.00002345051,0.0005022806,0.00007553514,0.00009433769,0.0001109737],"domain_scores_gemma":[0.9993922,0.00003804004,0.0003178915,0.000154848,0.00005882775,0.00003815842],"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":[0.0002222028,0.0004002299,0.05649106,0.001213152,0.001022532,0.00005834834,0.05702984,0.4876458,0.1242512,0.002324699,0.0001619107,0.269179],"study_design_scores_gemma":[0.009792251,0.001267969,0.01823727,0.007683355,0.001843996,0.001930769,0.1264767,0.4286985,0.1592421,0.004753371,0.23676,0.003313691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946812,0.0005420129,0.00396509,0.00007215384,0.0001920723,0.00004756064,0.000004975465,0.00001179426,0.0004831339],"genre_scores_gemma":[0.956929,0.00008701527,0.04285277,0.000004538213,0.00004964213,0.00000112475,6.748113e-7,0.00001451662,0.00006073472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2658653,"threshold_uncertainty_score":0.3003044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163386717587148,"score_gpt":0.2154605178100593,"score_spread":0.2038266506341878,"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."}}