{"id":"W1993509103","doi":"10.1179/174328607x228848","title":"Stochastic optimisation model for open pit mine planning: application and risk analysis at copper deposit","year":2007,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production schedule; Schedule; Open-pit mining; Scheduling (production processes); Net present value; Copper mine; Computer science; Cash flow; Production (economics); Simulated annealing; Operations research; Mining engineering; Engineering; Copper; Business; Operations management; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004260477,0.0001446608,0.000305939,0.0006289606,0.0003950291,0.00001497031,0.000228512,0.0002246377,0.000003094989],"category_scores_gemma":[0.00004868566,0.0001405337,0.00009833604,0.0005490371,0.000253073,0.0001294871,0.0000452879,0.0001229572,1.242214e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008046862,"about_ca_system_score_gemma":0.00002485009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006783,"about_ca_topic_score_gemma":0.0009441765,"domain_scores_codex":[0.9991167,0.000009425497,0.0004267459,0.000227571,0.00005792599,0.0001616185],"domain_scores_gemma":[0.9992836,0.00009976033,0.0001957695,0.0003166277,0.00006368615,0.00004062066],"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":[0.0000514382,0.00003587354,0.002827605,0.00003360756,0.00055777,8.453225e-8,0.0007478003,0.986236,0.002715047,0.0005936379,0.00002747032,0.006173678],"study_design_scores_gemma":[0.0004704528,0.0000846637,0.001181397,0.00005033194,0.00120321,0.00002914246,0.0006676455,0.9901266,0.005602421,0.0001499609,0.0002713095,0.0001628378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4843569,0.0001248186,0.5150573,0.00002957099,0.00005512626,0.0001850367,0.00001844917,0.00008134526,0.00009153583],"genre_scores_gemma":[0.8759033,0.00006660691,0.1237877,0.000004327593,0.000008181551,0.0001003598,0.000008746454,0.00001414762,0.0001066733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3915465,"threshold_uncertainty_score":0.5730797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814427500489851,"score_gpt":0.266197108516702,"score_spread":0.2380528335118035,"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."}}