{"id":"W2809417058","doi":"10.1007/s10479-018-2942-8","title":"Reduced cost-based variable fixing in two-stage stochastic programming","year":2018,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Transport Canada","funders":"","keywords":"Mathematical optimization; Stochastic programming; Theory of computation; Variable (mathematics); Heuristic; Set (abstract data type); Random variable; Range (aeronautics); Integer programming; Computer science; Reduction (mathematics); Measure (data warehouse); Mathematics; Linear programming; Algorithm; 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":[0.007609091,0.001803859,0.003779072,0.001424782,0.0007543259,0.002208474,0.003343136,0.003095836,0.003748537],"category_scores_gemma":[0.01706233,0.002031824,0.002262651,0.001498671,0.002086313,0.002590382,0.002896421,0.003851875,0.0003036081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002113802,"about_ca_system_score_gemma":0.00232988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005748085,"about_ca_topic_score_gemma":0.004202507,"domain_scores_codex":[0.9960952,0.002573947,0.0001031164,0.0002903668,0.0005392511,0.0003981706],"domain_scores_gemma":[0.9894167,0.008810063,0.000412093,0.000438834,0.0006410914,0.0002813032],"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":[0.00008184849,0.00006204394,0.0001610146,0.00006756523,0.00004708975,0.00004066528,0.00002822578,0.97204,0.0003543007,0.01980122,0.0004539712,0.006862014],"study_design_scores_gemma":[0.00001086241,0.00002495007,0.00004184967,0.000005383922,0.00001050993,0.000004737178,0.000002925404,0.993553,0.0001014253,0.006143143,0.00009517989,0.000006149458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02135031,0.0002782305,0.9751707,0.0002784049,0.00007029559,0.00007525666,0.0000552306,0.0001118502,0.002609715],"genre_scores_gemma":[0.6834694,0.0005397419,0.3054795,0.000193441,0.0001760452,0.0005184881,0.0002621931,0.0002844084,0.009076729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007609091,"threshold_uncertainty_score":0.04024118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4932199997891655,"score_gpt":0.5907253176075067,"score_spread":0.09750531781834121,"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."}}