{"id":"W2277459328","doi":"","title":"Enhanced earned value management on practical construction projects through constrained project scheduling simulations","year":2011,"lang":"en","type":"article","venue":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Earned value management; Project management; Scheduling (production processes); Computer science; Operations research; Operations management; Engineering; Project management triangle; Systems engineering; Project charter","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":[0.001013574,0.0005055683,0.0008892158,0.0005828247,0.000555697,0.001357436,0.00111505,0.001092557,0.005038809],"category_scores_gemma":[0.004580121,0.000654323,0.0004961861,0.001040437,0.0006223577,0.0009997031,0.0007164369,0.0008010562,0.000257675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572089,"about_ca_system_score_gemma":0.002059917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02969948,"about_ca_topic_score_gemma":0.0207136,"domain_scores_codex":[0.9996725,0.0001339465,0.00001619786,0.00004227191,0.00007060604,0.00006448956],"domain_scores_gemma":[0.9964323,0.00247036,0.0002498312,0.0002457164,0.0004382847,0.0001635096],"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":[0.00001504706,0.00001380034,0.0001627358,0.000004208018,0.00000181103,0.000007992257,0.000007378143,0.9984832,0.0000631518,0.0004840606,0.00004092857,0.0007156912],"study_design_scores_gemma":[0.000006377176,0.000007566312,0.00007041406,0.000001498116,0.000001430485,9.193223e-7,0.000007435211,0.9994763,0.00007665324,0.0003052711,0.00004435254,0.000001890586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8372487,0.0001229257,0.1349469,0.0002893557,0.00005073653,0.0001314729,0.000678127,0.0003975074,0.02613438],"genre_scores_gemma":[0.9863739,0.0000359333,0.01169312,0.00001522982,0.000005199081,0.00005351775,0.0001692929,0.0000610784,0.001592634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02969948,"threshold_uncertainty_score":0.05905318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09012750692421444,"score_gpt":0.3121417691437903,"score_spread":0.2220142622195759,"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."}}