{"id":"W2144127793","doi":"10.1061/9780784412329.107","title":"A Hybrid Framework for Modeling Construction Operations Using Discrete Event Simulation and System Dynamics","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Discrete event simulation; Computer science; Identification (biology); System dynamics; Event (particle physics); Systems engineering; Simulation modeling; Interface (matter); Computation; Industrial engineering; Simulation; Engineering; Artificial intelligence","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":[0.0009570473,0.0008269496,0.0006170698,0.001089497,0.0004211224,0.001371184,0.001361133,0.0007740765,0.002623927],"category_scores_gemma":[0.001258203,0.0004282711,0.001144298,0.0009431649,0.0005366481,0.001098074,0.0009263486,0.0008305621,0.0003363855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008512341,"about_ca_system_score_gemma":0.001524315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008616595,"about_ca_topic_score_gemma":0.008004936,"domain_scores_codex":[0.9994411,0.0002785069,0.00003935996,0.00005996917,0.0001477768,0.00003339716],"domain_scores_gemma":[0.9994992,0.0003091392,0.00004163283,0.0000485141,0.00007320564,0.00002843136],"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":[0.00001801304,0.00004288532,0.0005667952,0.00006041331,0.00005007785,0.00005533162,0.00005847123,0.9227424,0.001028214,0.06216242,0.0002670563,0.01294776],"study_design_scores_gemma":[0.000008642705,0.0000219778,0.00009243305,0.0000130797,0.00001060021,0.00001908295,0.00001859922,0.9864781,0.0002984997,0.00971891,0.003311674,0.000008407843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003694833,0.00007992922,0.993001,0.00005625515,0.00001711949,0.00006441755,0.00008445221,0.0001928988,0.002809213],"genre_scores_gemma":[0.313964,0.000658951,0.6806602,0.00004703128,0.00003343478,0.0007412799,0.0004574408,0.00007088634,0.003366741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008616595,"threshold_uncertainty_score":0.01713288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05537031666229703,"score_gpt":0.3574074173270244,"score_spread":0.3020371006647273,"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."}}