{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002303937,0.0002525477,0.0003290136,0.0001012687,0.0002185743,0.0003568599,0.000127444,0.0000516138,0.0001187958],"category_scores_gemma":[0.0008044064,0.0001983975,0.00004800581,0.0004418039,0.0002398592,0.0004368945,0.0001027777,0.0001899472,0.00005500562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001914695,"about_ca_system_score_gemma":0.000008327446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003071719,"about_ca_topic_score_gemma":0.000001719103,"domain_scores_codex":[0.9986726,0.00001455816,0.0003131967,0.0004076913,0.000263245,0.0003286808],"domain_scores_gemma":[0.9992259,0.0002802539,0.0002067041,0.0001549153,0.00007869759,0.00005358735],"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":[0.0001661649,0.00009429542,0.00001314031,0.0006764838,0.00007171495,0.00001793165,0.0003477167,0.8289965,0.0000450143,0.1538472,0.000003560588,0.01572019],"study_design_scores_gemma":[0.000664436,0.00006104464,0.000003119697,0.0003933267,0.0001994925,0.000006810767,0.0005434265,0.9753451,0.000002032418,0.02243739,0.00003107699,0.0003127421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009963091,0.000008691612,0.9879543,0.0006027399,0.00001040629,0.0006837114,0.000001509486,0.0003144213,0.000461108],"genre_scores_gemma":[0.879783,8.6094e-8,0.1195528,0.0004055708,0.0001098184,0.00006473721,0.00001911879,0.00004879439,0.00001617356],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8698199,"threshold_uncertainty_score":0.8090416,"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."}}