{"id":"W4401546907","doi":"10.1080/17480930.2024.2381904","title":"An application of simultaneous stochastic optimisation on an open-pit copper mining complex with supply, recovery, and market uncertainties","year":2024,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"AngloGold Ashanti; Canada Research Chairs","keywords":"Copper mine; Open-pit mining; Copper; Stochastic modelling; Computer science; Engineering; Environmental science; Mining engineering; Mathematics; Materials science; Metallurgy; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008818737,0.000909493,0.001120113,0.0006413712,0.0006449349,0.001451317,0.001048909,0.002028364,0.003303549],"category_scores_gemma":[0.003180749,0.0006270404,0.00114051,0.0009629321,0.0009931215,0.0006657283,0.001352382,0.001368753,0.0001579403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664181,"about_ca_system_score_gemma":0.001702141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03626717,"about_ca_topic_score_gemma":0.02062596,"domain_scores_codex":[0.9996136,0.0001265709,0.00001567186,0.00007099164,0.00008752857,0.00008555334],"domain_scores_gemma":[0.9975586,0.001903122,0.0001562283,0.00006760769,0.0002025578,0.0001118801],"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":[0.00001766341,0.00001079021,0.0001466869,0.00001012382,0.000005759268,0.00004577586,0.000006829067,0.9982916,0.0001217372,0.0007804505,0.00005705587,0.0005056958],"study_design_scores_gemma":[0.000008318805,0.00001747643,0.0001194754,0.000001605299,0.000003411694,0.000005504774,0.00001419212,0.9989678,0.00008253119,0.0006727349,0.0001033224,0.000003676611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7237783,0.000570162,0.2298176,0.001731986,0.0001317882,0.0002323457,0.0009173926,0.0003380947,0.04248241],"genre_scores_gemma":[0.980476,0.00009284303,0.01505926,0.00004956669,0.00001452546,0.00006429615,0.0001315965,0.00003792094,0.004073992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03626717,"threshold_uncertainty_score":0.07211214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399625662668716,"score_gpt":0.2450737105417123,"score_spread":0.2310774539150252,"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."}}