{"id":"W2147638424","doi":"10.5555/2693848.2694267","title":"Bi-level project simulation methodology to integrate superintendent and project manager in decision making: shutdown/turnaround applications","year":2014,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Critical path method; Shutdown; Turnaround time; Computer science; Operations research; Duration (music); Crew; Scheduling (production processes); Monte Carlo method; Project management; Resource (disambiguation); Project manager; Discrete event simulation; Resource allocation; Project planning; Work (physics); Reliability engineering; Industrial engineering; Systems engineering; Engineering; Simulation; Operations management","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":[0.00208321,0.0006977604,0.0006959053,0.00074413,0.0005108287,0.0009995188,0.001257561,0.0007659274,0.004312025],"category_scores_gemma":[0.002816716,0.0006064487,0.0007579167,0.001063242,0.0004094045,0.001018085,0.001151139,0.001089112,0.0005692119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009790442,"about_ca_system_score_gemma":0.002387812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008135453,"about_ca_topic_score_gemma":0.007605938,"domain_scores_codex":[0.9989975,0.0006140957,0.000053958,0.0000791096,0.0001768496,0.00007850071],"domain_scores_gemma":[0.9988262,0.00066968,0.00009049701,0.0001033992,0.0002255148,0.00008471665],"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":[0.00003022727,0.00004806483,0.0006814898,0.00003652683,0.00003042637,0.00004126971,0.00007032799,0.9606997,0.001088871,0.02287136,0.0003226106,0.01407905],"study_design_scores_gemma":[0.000004683438,0.00001421848,0.00006083604,0.000003680746,0.000004257334,0.000006333924,0.000007332739,0.9962692,0.0001562277,0.002741023,0.0007293081,0.000002904825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008886129,0.00004631165,0.9878549,0.00007491288,0.00001264046,0.00007240083,0.00005296225,0.0002453691,0.002754299],"genre_scores_gemma":[0.3147042,0.0002398611,0.6809884,0.00008569165,0.00001603359,0.0007744982,0.0002326156,0.0001075261,0.002851225],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008135453,"threshold_uncertainty_score":0.01617616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3972892948686963,"score_gpt":0.4954420267429048,"score_spread":0.09815273187420848,"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."}}