{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007427796,0.0006831979,0.0006135678,0.001355613,0.0003137795,0.001625362,0.0007747281,0.0006346684,0.001210083],"category_scores_gemma":[0.02496169,0.0003135094,0.000602589,0.001217574,0.00038374,0.001439625,0.0007217598,0.0007354775,0.0001723857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477148,"about_ca_system_score_gemma":0.001187871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005373144,"about_ca_topic_score_gemma":0.002449588,"domain_scores_codex":[0.9961703,0.001830783,0.0002306803,0.0002051613,0.001324634,0.0002382656],"domain_scores_gemma":[0.9816661,0.01209438,0.001294877,0.00201505,0.002705058,0.00022457],"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":[0.0002605155,0.00008630234,0.01217961,0.00005424686,0.00004612485,0.00004968713,0.000181662,0.9679703,0.002616178,0.003887843,0.0001658819,0.01250163],"study_design_scores_gemma":[0.00001827852,0.0002683867,0.00471406,0.00002266949,0.000023503,0.00002939874,0.0001471606,0.9894947,0.003403658,0.00118889,0.0006682335,0.00002092255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8521918,0.0001086896,0.1360474,0.0001673118,0.00002657368,0.0001659842,0.0003796847,0.000560141,0.01035238],"genre_scores_gemma":[0.9867501,0.00006213106,0.01251,0.000006910328,0.00000338877,0.00006431512,0.0001490069,0.00002214126,0.0004320135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007427796,"threshold_uncertainty_score":0.03928244,"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."}}