{"id":"W2129994225","doi":"10.5555/2675983.2676380","title":"Assessment of construction operations productivity rate as computed by simulation models","year":2013,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Discrete event simulation; Credibility; Productivity; Duration (music); Simulation modeling; Process (computing); Computer science; Industrial engineering; Simulation; Operations research; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009869069,0.0001693087,0.0001884207,0.0001170653,0.00008093475,0.000116289,0.00009173484,0.0001013142,0.0006228008],"category_scores_gemma":[0.00002513116,0.0001728613,0.00004811615,0.000191709,0.00008223919,0.00113797,0.00001710947,0.0001512024,0.00003562077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007086284,"about_ca_system_score_gemma":0.00005271713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006623692,"about_ca_topic_score_gemma":0.00001571947,"domain_scores_codex":[0.9989575,0.00007760261,0.0004223159,0.0002313001,0.0001762775,0.0001349712],"domain_scores_gemma":[0.9989145,0.00008063149,0.00007518392,0.0002260353,0.0006472204,0.00005644394],"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":[0.000002962386,0.0000213549,0.0004777806,0.00001802678,0.00002675026,4.44555e-8,0.0001325008,0.9608533,0.01392893,0.009900343,0.00007607928,0.01456187],"study_design_scores_gemma":[0.0002743338,0.00003307869,0.003969592,0.00003172074,0.00001333616,0.000001657844,0.00008121454,0.987785,0.003938464,0.003525713,0.0001792999,0.0001666181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3158692,0.00001128586,0.6799058,0.00007393558,0.0003740996,0.0003466515,0.00001472913,0.0001679271,0.003236323],"genre_scores_gemma":[0.9954182,0.000003930268,0.004190485,0.00002558168,0.00005833499,0.00004622095,0.00009466543,0.00001672381,0.000145876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.679549,"threshold_uncertainty_score":0.7049078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129100070408434,"score_gpt":0.2661875941416046,"score_spread":0.2448965934375202,"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."}}