{"id":"W2938277272","doi":"10.29173/mocs36","title":"Investigating the effects of reduced technological constraints on cycle time through simulation modelling for automated steel wall framing","year":2018,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prefabrication; Framing (construction); Engineering; Original equipment manufacturer; Automation; Sustainability; Construction industry; Discrete event simulation; Manufacturing engineering; Construction engineering; Architectural engineering; Computer science; Civil engineering; Mechanical engineering; Simulation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001728847,0.0002166985,0.0002400687,0.0001050278,0.0002991575,0.00008640557,0.0001114287,0.0002174973,0.00001024328],"category_scores_gemma":[0.0001551622,0.0001792105,0.00005188214,0.00020531,0.0004655168,0.0002892613,0.00002861986,0.0001716561,0.000002723284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003725633,"about_ca_system_score_gemma":0.00001066335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003608144,"about_ca_topic_score_gemma":2.636795e-7,"domain_scores_codex":[0.9989606,0.000007550132,0.0003253571,0.0002957721,0.0001696227,0.0002411116],"domain_scores_gemma":[0.9993751,0.0001263658,0.000143786,0.00009866393,0.0002097057,0.00004639828],"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":[0.0000405092,0.00003021693,0.0003662617,0.001276965,0.0001138628,4.566969e-7,0.001373206,0.8804187,0.0609103,0.005601623,0.00006880613,0.0497991],"study_design_scores_gemma":[0.0004126533,0.000100957,0.0001540144,0.0002515821,0.00004013992,0.000003802635,0.0001239048,0.8668501,0.1300681,0.001645611,0.0001711135,0.0001780296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8595382,0.00007343441,0.1384941,0.00004715892,0.0001441958,0.0005309376,0.000005148665,0.0007302879,0.0004365855],"genre_scores_gemma":[0.9653791,0.0000276554,0.03437091,0.00003775987,0.0000931453,0.0000344114,0.00001047589,0.00003189042,0.00001464149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1058409,"threshold_uncertainty_score":0.7307991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062723245138944,"score_gpt":0.2202977391414176,"score_spread":0.2096705066900282,"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."}}