{"id":"W4213459164","doi":"10.1109/wsc52266.2021.9715359","title":"Enhanced Resource Scheduling Framework For Industrial Construction Projects","year":2021,"lang":"en","type":"article","venue":"2021 Winter Simulation Conference (WSC)","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources; PCL Construction (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Schedule; Scheduling (production processes); Variable (mathematics); Resource allocation; Distributed computing; Operations research; Systems engineering; Engineering; Operations management; Operating system","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":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002148328,0.0003903824,0.0006597093,0.000448605,0.0004106111,0.001335668,0.000722996,0.0005623167,0.003030487],"category_scores_gemma":[0.02818474,0.000366223,0.0003539836,0.001524334,0.0002522713,0.0006766819,0.0002611093,0.0007430715,0.0002087509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001155099,"about_ca_system_score_gemma":0.0009425108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000618746,"about_ca_topic_score_gemma":0.00001405595,"domain_scores_codex":[0.9945679,0.0006032846,0.001423901,0.001392355,0.001393553,0.0006189987],"domain_scores_gemma":[0.9897484,0.006102124,0.0007403536,0.001070323,0.002107758,0.0002310934],"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":[0.000970762,0.0002010136,0.006096399,0.0000479048,0.0002421193,0.00003608508,0.009686911,0.2484811,0.01290507,0.04880343,0.0005835561,0.6719456],"study_design_scores_gemma":[0.004431172,0.0003240325,0.0005504344,0.0009435146,0.0001304468,0.00005333459,0.03034039,0.7506019,0.08156732,0.0885323,0.04108252,0.001442557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.212024,0.00004145343,0.7797512,0.001207001,0.001269627,0.0007118619,0.00003963697,0.00009305932,0.004862119],"genre_scores_gemma":[0.8887124,0.0000031329,0.1086238,0.0003215729,0.001192148,0.00006638758,0.00006046335,0.00003630529,0.0009837317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6766884,"threshold_uncertainty_score":0.9998789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2447500945756811,"score_gpt":0.4132750225596386,"score_spread":0.1685249279839575,"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."}}