{"id":"W2081606268","doi":"10.1057/jors.2012.26","title":"Implementing a parametric maximum flow algorithm for optimal open pit mine design under uncertain supply and demand","year":2012,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Project management; Parametric statistics; Optimal design; Algorithm; Operations research; Scheduling (production processes); Open-pit mining; Mathematical optimization; Engineering; Mathematics; Mining engineering; Systems engineering; Statistics; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006332139,0.00008207127,0.0001459797,0.00005062371,0.0003661866,0.000267763,0.0003618787,0.00005958156,0.00006990832],"category_scores_gemma":[0.0001359466,0.00005864724,0.0001057855,0.0001565142,0.00004525331,0.0004341435,0.0002437471,0.0002908691,0.000001011418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011518,"about_ca_system_score_gemma":0.0001184604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001200824,"about_ca_topic_score_gemma":0.000001772919,"domain_scores_codex":[0.9989089,0.00007477172,0.0002810808,0.00007360568,0.0002523481,0.000409264],"domain_scores_gemma":[0.9990651,0.0004714626,0.0000525123,0.0000973412,0.0002031024,0.0001104956],"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":[0.00009362603,0.0001978332,0.00316278,0.0001210571,0.0008648745,0.000001610002,0.002801802,0.4876419,0.005070533,0.002454104,0.4345625,0.06302736],"study_design_scores_gemma":[0.0006576753,0.0001284781,0.0007955768,0.00003358777,0.0000173023,0.00005253994,0.0005635842,0.9798419,0.002098332,0.0015878,0.01411505,0.0001082065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1132335,0.0008883925,0.8834187,0.001441697,0.0001516697,0.0007122396,0.00004117685,0.00001083408,0.00010181],"genre_scores_gemma":[0.1729484,0.0003687232,0.8259361,0.00009995753,0.0003664506,0.00004115847,0.000004717419,0.00002167696,0.0002127933],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4922,"threshold_uncertainty_score":0.2816449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1252303502094552,"score_gpt":0.3796928823080662,"score_spread":0.254462532098611,"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."}}