{"id":"W2622334673","doi":"","title":"Optimizing mining rates under financial uncertainty in global mining complexes","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mathematical optimization; Computer science; Process (computing); License; Schedule; Markov process; Dynamic programming; Production (economics); Mathematics; Economics; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001325843,0.0002185691,0.0003923497,0.0002487548,0.00009909674,0.0001031672,0.0003779232,0.0001995917,0.00004849288],"category_scores_gemma":[0.0002255294,0.0002666557,0.0000683067,0.0001871842,0.0001222487,0.0001597632,0.0001674034,0.0003431207,0.000005981209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009433061,"about_ca_system_score_gemma":0.00008795635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007418853,"about_ca_topic_score_gemma":0.001832245,"domain_scores_codex":[0.9980767,0.00008245464,0.0005248669,0.000405227,0.00008423378,0.0008265363],"domain_scores_gemma":[0.9990556,0.0003801936,0.00004786823,0.0003697472,0.00002382253,0.0001227961],"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":[0.00004131721,0.0000295528,0.02113326,0.00005333105,0.00001510824,0.000008987699,0.0005528471,0.8732877,0.0001642223,0.002499542,0.0002520288,0.1019621],"study_design_scores_gemma":[0.0008144918,0.00009848324,0.01179715,0.0001739325,0.000002564155,0.00001101714,0.001326466,0.9717024,0.0002293457,0.00175743,0.01158965,0.000497081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410739,0.00005195752,0.0001580642,0.00006206179,0.0001780032,0.0001797357,0.00001160329,0.0001357846,0.0581489],"genre_scores_gemma":[0.987095,0.0005401259,0.01196161,0.00007678475,0.0001348898,0.0000587498,0.00001473049,0.00004524821,0.00007284968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.101465,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935325608986434,"score_gpt":0.2938210193559209,"score_spread":0.2644677632660565,"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."}}