{"id":"W4415764117","doi":"10.29173/mocs311","title":"Activity Sequencing Optimization in Petroleum Projects Using Simulation Modeling","year":2025,"lang":"","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refinery; Scheduling (production processes); Upgrade; Simulation-based optimization; Baseline (sea); Interdependence; Simulation modeling; Task (project management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007753053,0.0006783534,0.0006247379,0.0005346065,0.0003391736,0.0008200899,0.0006083733,0.0005879701,0.001334742],"category_scores_gemma":[0.0016724,0.0004427681,0.0006875533,0.0006040827,0.000438925,0.0005011029,0.0005495235,0.0005575279,0.0001242243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437068,"about_ca_system_score_gemma":0.001956711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02333456,"about_ca_topic_score_gemma":0.0149233,"domain_scores_codex":[0.9996362,0.00021129,0.00001561537,0.00003593597,0.00005694478,0.00004403],"domain_scores_gemma":[0.9990478,0.0007158594,0.00009308205,0.00003033117,0.00007938666,0.00003341225],"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":[0.000006423081,0.000004864954,0.0001166228,0.00000336992,0.00000237538,0.000003610341,0.000004189479,0.9986339,0.00007501981,0.0005731448,0.00001564635,0.0005607927],"study_design_scores_gemma":[0.000002816583,0.000005252333,0.00003324272,0.000001592446,0.000001486805,0.000001014759,0.000002957612,0.9994606,0.00008573634,0.0002997231,0.0001043283,0.000001245855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.276972,0.0003453688,0.7047203,0.0003529126,0.00003339581,0.0002117354,0.0003875695,0.0005367456,0.01644007],"genre_scores_gemma":[0.926787,0.0003647662,0.06956714,0.00003676984,0.00000830559,0.0002855706,0.0002535905,0.00005726192,0.002639753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02333456,"threshold_uncertainty_score":0.04639751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07642454252690692,"score_gpt":0.3343477742731084,"score_spread":0.2579232317462015,"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."}}