{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020566,0.0008293521,0.001358912,0.0004641719,0.000435539,0.001857279,0.001380357,0.001402639,0.001513497],"category_scores_gemma":[0.005608185,0.0007652503,0.0007015353,0.0006243551,0.001521133,0.002529934,0.001797657,0.001349911,0.0001385789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782427,"about_ca_system_score_gemma":0.001186285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004879331,"about_ca_topic_score_gemma":0.002448053,"domain_scores_codex":[0.999054,0.0003729802,0.00002936695,0.0002420388,0.0001602886,0.0001412442],"domain_scores_gemma":[0.9979381,0.001371405,0.0003430925,0.0000750415,0.0001563288,0.0001160626],"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":[0.00001796729,0.000007800291,0.0002113033,0.000009035002,0.000008887931,0.00003728301,0.00001693103,0.9896638,0.0002091662,0.007794545,0.00007871541,0.001944631],"study_design_scores_gemma":[0.000005752064,0.0000149433,0.00009461125,0.000001882,0.00000282972,0.000008246007,0.00001432789,0.9919063,0.0001291174,0.0077069,0.0001111643,0.000003920914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1679945,0.0003014453,0.8253334,0.0006771599,0.00003554619,0.00004488303,0.00008856171,0.00009300424,0.005431405],"genre_scores_gemma":[0.9711663,0.000201406,0.02601072,0.00004863465,0.00001891077,0.00005512132,0.0000472458,0.00004935496,0.002402354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004879331,"threshold_uncertainty_score":0.01293254,"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."}}