{"id":"W2166536971","doi":"10.5555/1162708.1162971","title":"Modeling scheduling uncertainty in capital construction projects","year":2005,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Scheduling (production processes); Monte Carlo method; Work (physics); Inflation (cosmology); Cost accounting; Operations research; Industrial engineering; Engineering; Economics; Operations management; Accounting","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":[0.002179432,0.0006165871,0.0007489913,0.0007315117,0.000499949,0.001774689,0.001005018,0.001140586,0.001669762],"category_scores_gemma":[0.007896201,0.0007135583,0.0006790455,0.001246307,0.0006387672,0.001273308,0.0007555478,0.0008223334,0.0001652655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002619032,"about_ca_system_score_gemma":0.001905577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02742079,"about_ca_topic_score_gemma":0.01416056,"domain_scores_codex":[0.9989832,0.000472956,0.00005053116,0.0001480449,0.0001664925,0.000178853],"domain_scores_gemma":[0.9966286,0.002387013,0.0004725915,0.0001193001,0.0002054108,0.0001869948],"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":[0.00001099104,0.000004218949,0.00027998,0.000002638762,0.000003503915,0.00001005561,0.00001097829,0.9973435,0.00003002529,0.001695661,0.00003500483,0.0005735205],"study_design_scores_gemma":[0.000003904159,0.000007893866,0.0001743905,0.00000224781,0.000003724622,0.000003746099,0.000009416318,0.9970921,0.00004430252,0.002527664,0.0001271494,0.00000342162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4992748,0.0004946603,0.4852877,0.0006623815,0.0000661468,0.0001057265,0.0007747529,0.0003367889,0.01299704],"genre_scores_gemma":[0.9900478,0.0001654581,0.008360143,0.00001656109,0.00001698929,0.00004805938,0.0001737057,0.00002798129,0.001143138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02742079,"threshold_uncertainty_score":0.05452234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557296510355119,"score_gpt":0.247866154029941,"score_spread":0.2222931889263898,"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."}}