{"id":"W3158339412","doi":"10.1007/s11081-021-09629-9","title":"A matheuristic approach for optimizing mineral value chains under uncertainty","year":2021,"lang":"en","type":"article","venue":"Optimization and Engineering","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; McGill University","funders":"","keywords":"Heuristics; Computer science; Reinforcement learning; Mathematical optimization; Artificial neural network; Value (mathematics); Relaxation (psychology); Decomposition; Artificial intelligence; Machine learning; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007079893,0.0001258244,0.0001419568,0.00005439235,0.00004259179,0.00005944453,0.00004329666,0.00007200481,0.00001507078],"category_scores_gemma":[0.00001909906,0.0001467978,0.0000375467,0.00008123553,0.000006568197,0.00007127217,0.00002013277,0.00006679745,3.584096e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000043824,"about_ca_system_score_gemma":0.000008316933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001468677,"about_ca_topic_score_gemma":2.847579e-7,"domain_scores_codex":[0.999487,0.000003156951,0.0001467838,0.0001490117,0.00003106206,0.0001830014],"domain_scores_gemma":[0.9997642,0.00002652432,0.0000133938,0.0001113203,0.00002364342,0.00006093494],"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":[0.00000128792,0.000005914082,0.000004605427,0.00009818011,0.00001584659,6.689459e-7,0.00008114355,0.994865,0.0004931184,0.004119055,0.0001788779,0.0001363045],"study_design_scores_gemma":[0.0002009222,0.000007677805,0.000009564725,0.00001834913,0.0000128005,0.00001574246,0.0000614368,0.9985964,0.0002081006,0.00001846813,0.0006765029,0.0001740322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005047811,0.0001682538,0.9931377,0.00002876582,0.0001202692,0.0001008012,0.00001002816,0.0003766835,0.001009739],"genre_scores_gemma":[0.1384927,0.0002561614,0.8607344,0.00004484614,0.00008564343,0.00005313489,0.000111332,0.00005647613,0.0001652824],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1334449,"threshold_uncertainty_score":0.5986242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205775723395483,"score_gpt":0.1945331721275355,"score_spread":0.1824754148935807,"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."}}