{"id":"W3034534017","doi":"10.1007/s10107-020-01518-w","title":"On a multistage discrete stochastic optimization problem with stochastic constraints and nested sampling","year":2020,"lang":"en","type":"article","venue":"Mathematical Programming","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Mathematical optimization; Convergence (economics); Stochastic programming; Consistency (knowledge bases); Infinity; Optimization problem; Applied mathematics; Discrete mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01081291,0.001581105,0.004320799,0.001726446,0.001236421,0.003810081,0.003547112,0.004184352,0.007084223],"category_scores_gemma":[0.0315141,0.003421905,0.002468026,0.002397424,0.004224547,0.004518233,0.004077493,0.003569503,0.0003194685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005191345,"about_ca_system_score_gemma":0.00430316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02587137,"about_ca_topic_score_gemma":0.01759854,"domain_scores_codex":[0.9950565,0.002878495,0.0001561659,0.000710001,0.0006279624,0.0005708199],"domain_scores_gemma":[0.9671474,0.02915528,0.001344665,0.0004184693,0.0009103926,0.001023897],"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":[0.0001325246,0.0001074197,0.0006958524,0.0001163967,0.00005993501,0.000131622,0.00007726347,0.9114759,0.0003218336,0.08355407,0.0006220768,0.002705117],"study_design_scores_gemma":[0.00002246421,0.00002675901,0.000126597,0.000009770491,0.00001160444,0.00001236637,0.00001149619,0.985006,0.00006178334,0.0145472,0.0001540041,0.000009800336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05124599,0.0008111132,0.9386794,0.002056025,0.0001419061,0.0002368298,0.0003511157,0.0001140197,0.006363517],"genre_scores_gemma":[0.7474507,0.001299061,0.224106,0.0007602077,0.000381128,0.0007373443,0.0006841885,0.0002240938,0.02435734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02587137,"threshold_uncertainty_score":0.05718482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298488836579584,"score_gpt":0.2494393920210591,"score_spread":0.2264545036552632,"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."}}