{"id":"W4206075549","doi":"10.1007/s11081-021-09701-4","title":"Short-term open-pit production scheduling optimizing multiple objectives accounting for shovel allocation in stockpiles","year":2022,"lang":"en","type":"article","venue":"Optimization and Engineering","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Shovel; Computer science; Maximization; Scheduling (production processes); Open-pit mining; Production (economics); Relocation; Term (time); Operations research; Operations management; Mathematical optimization; Engineering; Mining engineering; Mathematics","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":[0.001086749,0.0005890511,0.001194984,0.0005018112,0.0006809575,0.001483422,0.0009752686,0.001033249,0.002470433],"category_scores_gemma":[0.001649336,0.0006430102,0.000598543,0.0007494168,0.0004980284,0.001206687,0.0006856321,0.0008124862,0.0001984141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301808,"about_ca_system_score_gemma":0.002121723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375309,"about_ca_topic_score_gemma":0.01768204,"domain_scores_codex":[0.999643,0.00008803394,0.00001329043,0.00006482406,0.00007564635,0.000115205],"domain_scores_gemma":[0.9994,0.0002654134,0.00008142741,0.00003832445,0.0001240977,0.00009077926],"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":[0.0000855925,0.00003819906,0.0004578811,0.00002824259,0.00001497625,0.0000387039,0.00001316686,0.988946,0.001177505,0.0008174587,0.0002369518,0.008145319],"study_design_scores_gemma":[0.000003335714,0.00002597009,0.0002644912,0.000001723894,0.000004570482,0.000003006147,0.00001080627,0.9990382,0.0002130068,0.000362009,0.00007055719,0.000002333054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5610749,0.0005936355,0.4285757,0.0004071234,0.0001460236,0.0001804868,0.0003615432,0.000357536,0.008303053],"genre_scores_gemma":[0.9781939,0.00008829906,0.01910534,0.00001470928,0.0000138569,0.0000369743,0.000100459,0.0000315516,0.002414837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01375309,"threshold_uncertainty_score":0.02734607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179012917630076,"score_gpt":0.2275146174433093,"score_spread":0.2096133256803017,"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."}}