{"id":"W2363908096","doi":"","title":"Automatic formation of short-term plan based on the long-term plan on open-pit mine using 0-1 integer programming","year":2012,"lang":"en","type":"article","venue":"Meitan xuebao","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Plan (archaeology); Term (time); Integer programming; Software; Computer science; Reliability (semiconductor); Field (mathematics); Development plan; Integer (computer science); Secondary development; Software engineering; Industrial engineering; Operations research; Engineering; Reliability engineering; Simulation; Programming language; Algorithm; Civil engineering; 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":[0.0004232413,0.0001797471,0.0002201074,0.0001072286,0.00006929735,0.00008951836,0.0003250866,0.00008046439,0.0001316215],"category_scores_gemma":[0.00002012703,0.0001403807,0.00005541659,0.00008047358,0.00002129383,0.000298024,0.00005374081,0.0001535643,0.0000187305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001461857,"about_ca_system_score_gemma":0.000008928945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001098381,"about_ca_topic_score_gemma":0.00001968472,"domain_scores_codex":[0.9991161,0.00002422333,0.0003357155,0.0001090414,0.0001053238,0.0003095653],"domain_scores_gemma":[0.9993769,0.00008653627,0.00007588211,0.0003828251,0.00001274869,0.00006508766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007364575,0.002898833,0.332593,0.006933883,0.0008489072,0.00009563159,0.02600183,0.08887662,0.04104032,0.02061386,0.0204734,0.4588872],"study_design_scores_gemma":[0.000361864,0.0002491531,0.007978934,0.0008779697,0.00005274541,0.00002147684,0.0001624196,0.9591357,0.03004351,0.00003967407,0.0006466045,0.0004300181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870935,0.0000229777,0.009031866,0.00003418305,0.0001832018,0.0005125585,0.00001324535,0.0002176905,0.002890754],"genre_scores_gemma":[0.9943044,0.000002647199,0.00540965,0.0000568348,0.00007587354,0.00004742,0.00004186172,0.00004196406,0.00001931323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.870259,"threshold_uncertainty_score":0.5724559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06090934499884648,"score_gpt":0.2716973637648443,"score_spread":0.2107880187659978,"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."}}