{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024842,0.000709236,0.000534254,0.0008939728,0.0004630013,0.0009976526,0.001488083,0.0005421674,0.003932722],"category_scores_gemma":[0.001073776,0.0003297872,0.0009314203,0.000956258,0.0004259625,0.0007754804,0.0007465702,0.0007099112,0.000568227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125322,"about_ca_system_score_gemma":0.002424715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01610517,"about_ca_topic_score_gemma":0.01560858,"domain_scores_codex":[0.999445,0.0001991039,0.00002929138,0.00007641203,0.0001937931,0.00005633851],"domain_scores_gemma":[0.9997656,0.00008682162,0.00002786482,0.00003026847,0.00006871182,0.00002071225],"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":[0.0000182855,0.00002640742,0.0001603954,0.0000315396,0.0000135433,0.00006032694,0.00005194787,0.9259757,0.001102487,0.05877145,0.0006775302,0.01311026],"study_design_scores_gemma":[0.00001082875,0.00001308128,0.00004915729,0.000006785954,0.000005006885,0.00001291974,0.000008990271,0.9861917,0.0002671737,0.008846853,0.004582883,0.000004596495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005734839,0.000107639,0.9886973,0.00007246263,0.00002778885,0.00008329134,0.0001569444,0.0004721639,0.004647559],"genre_scores_gemma":[0.2311458,0.0003944139,0.7625236,0.00003737735,0.00003988071,0.0004407912,0.0005949386,0.0001419558,0.004681317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01610517,"threshold_uncertainty_score":0.03202289,"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."}}