{"id":"W1971322988","doi":"10.1142/s0950609801000609","title":"NUMERICAL SIMULATION OF SURFACE MINE PRODUCTION SYSTEM USING PIT SHELL SIMULATOR","year":2001,"lang":"en","type":"article","venue":"Mineral Resources Engineering","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Schedule; Production schedule; Engineering; Resource (disambiguation); Production (economics); Scheduling (production processes); Operations research; Surface mining; Civil engineering; Construction engineering; Mining engineering; Transport engineering; Computer science; Operations management; Waste management","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":[0.0001393973,0.0001989361,0.0002781596,0.0001165979,0.00002902779,0.00002217908,0.0001154058,0.0001011516,0.00001453987],"category_scores_gemma":[0.000037577,0.0002203111,0.00007164835,0.0002324415,0.00001062488,0.0001321987,0.00002332673,0.0001222011,0.000004763751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666148,"about_ca_system_score_gemma":0.000004549425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004890606,"about_ca_topic_score_gemma":0.000001256457,"domain_scores_codex":[0.999033,0.000008013759,0.0003811998,0.000192105,0.0001151396,0.0002704947],"domain_scores_gemma":[0.9995511,0.00004420329,0.00005545027,0.0002398015,0.00003476048,0.00007464654],"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":[0.00001043668,0.000007572015,0.0009528208,0.0001911438,0.00001725947,0.000003537043,0.0001728636,0.9556304,0.04277389,0.00001484682,0.00003352009,0.0001917365],"study_design_scores_gemma":[0.000113667,0.00002395949,0.0002493624,0.000119902,0.00001605427,0.00001914682,0.00003201441,0.9901415,0.004621178,8.956791e-7,0.004448085,0.0002142174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264573,0.0002186444,0.07203041,0.000005136542,0.0002677257,0.0001347673,0.000002878004,0.0006221167,0.0002609686],"genre_scores_gemma":[0.9910035,0.00001001863,0.008552824,0.00000197128,0.0002749246,0.000003048098,0.000005132034,0.00006717642,0.00008146493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06454609,"threshold_uncertainty_score":0.8984027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623444032538687,"score_gpt":0.2144602559719547,"score_spread":0.1982258156465678,"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."}}