{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003879078,0.0009072115,0.001242039,0.003653185,0.001287934,0.00219224,0.0006097895,0.0008607621,0.00008429295],"category_scores_gemma":[0.002297525,0.0009761275,0.000308604,0.004476686,0.0006251384,0.003989866,0.000487937,0.001215672,0.000006896295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119387,"about_ca_system_score_gemma":0.001027015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003945136,"about_ca_topic_score_gemma":0.00004249912,"domain_scores_codex":[0.9924905,0.0002491143,0.002137017,0.002408211,0.001569521,0.001145603],"domain_scores_gemma":[0.9962519,0.0004224457,0.001061414,0.0004791143,0.001495258,0.0002898608],"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":[0.000335837,0.0000580676,0.04542244,0.0002602288,0.00007344076,0.000008594239,0.001480853,0.9011728,0.006611028,0.0006882339,0.000002981627,0.04388553],"study_design_scores_gemma":[0.001921187,0.00008347992,0.0003993477,0.001159857,0.0001860857,0.00005529123,0.01177373,0.9799851,0.00225072,0.0012729,0.00009488844,0.0008174406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5877736,0.0004213632,0.4086948,0.0001725977,0.0006427793,0.0009145606,0.00001135908,0.0001015615,0.001267385],"genre_scores_gemma":[0.9421784,0.000175843,0.05702173,0.00010055,0.0002252834,0.00003236302,0.000007800665,0.00006116334,0.0001968125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3544049,"threshold_uncertainty_score":0.9992689,"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."}}