{"id":"W2299216252","doi":"","title":"A Fast and Accurate Algorithm for Stochastic Integer Programming, Applied to Stochastic Shift Scheduling","year":2012,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Mathematical optimization; Stochastic programming; Computer science; Scheduling (production processes); Heuristic; Integer programming; Dynamic programming; Column generation; Algorithm; 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":[0.001506424,0.0002529991,0.0003677015,0.0003564812,0.0004312434,0.0004062717,0.0003276884,0.0001711819,0.00003157763],"category_scores_gemma":[0.0009768124,0.0002000886,0.00009052997,0.000607136,0.0001701041,0.000380727,0.00008463499,0.0002098311,0.00008590926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005645545,"about_ca_system_score_gemma":0.00004617042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001464883,"about_ca_topic_score_gemma":0.000008781456,"domain_scores_codex":[0.9977601,0.00005352306,0.0005376814,0.0004935549,0.0005622293,0.0005929438],"domain_scores_gemma":[0.9981254,0.0007228166,0.0002342548,0.0003287889,0.0001740389,0.0004146557],"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":[0.00007822635,0.00007267191,0.0002657312,0.000005283184,0.0000311068,0.000001118559,0.01016145,0.02895586,0.00003645496,0.01507695,0.0004544822,0.9448607],"study_design_scores_gemma":[0.004869398,0.0007984138,0.00648888,0.0001165411,0.0003517243,0.0001134123,0.01835057,0.8666481,0.0002918582,0.05412113,0.04504105,0.002808863],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05559293,0.0002127869,0.9421377,0.0003490683,0.0005090673,0.0009561956,0.00002348109,0.00007740051,0.0001413444],"genre_scores_gemma":[0.750664,0.000007127209,0.2480202,0.0002767975,0.0004136619,0.000231286,0.0000175381,0.00003100134,0.0003383932],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9420518,"threshold_uncertainty_score":0.8159375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03724072600934392,"score_gpt":0.3240968000928531,"score_spread":0.2868560740835092,"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."}}