{"id":"W4307138863","doi":"10.1061/(asce)co.1943-7862.0002420","title":"Assessment of Digital Twins to Reassign Multiskilled Workers in Offsite Construction Based on Lean Thinking","year":2022,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Flexibility (engineering); Lean manufacturing; Productivity; Production (economics); Lean construction; Identification (biology); Lead time; Computer science; Operations management; Manufacturing engineering; Engineering; Industrial engineering; Construction industry; Construction engineering","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":[0.003922352,0.0008131732,0.000428996,0.001592329,0.0005459537,0.001737906,0.001011897,0.0007798909,0.001384859],"category_scores_gemma":[0.008675346,0.000323899,0.0006047762,0.0008672742,0.0008574982,0.001365163,0.001375574,0.0005319488,0.0002489145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674702,"about_ca_system_score_gemma":0.001726994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003146871,"about_ca_topic_score_gemma":0.005717203,"domain_scores_codex":[0.9977444,0.0008697233,0.0001284229,0.0002241095,0.000838378,0.0001949193],"domain_scores_gemma":[0.9957234,0.001699594,0.0008292515,0.0003753563,0.0009902453,0.000382226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003404509,0.002746946,0.2562155,0.0009833811,0.0002768727,0.0009361195,0.004670089,0.3103068,0.03244605,0.007093856,0.0009886441,0.3799313],"study_design_scores_gemma":[0.0001473832,0.01217107,0.2122609,0.0004949351,0.0003915681,0.0006155905,0.01797035,0.6929693,0.04801768,0.00793203,0.006761401,0.0002677995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720104,0.00007811393,0.0250496,0.00007199502,0.00001426606,0.0001863872,0.00008260286,0.00006043331,0.002446217],"genre_scores_gemma":[0.9741742,0.00007441146,0.02507517,0.00001186385,0.000001984684,0.0000830938,0.00009277796,0.00001174387,0.0004747358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003922352,"threshold_uncertainty_score":0.02074367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006418361941288954,"score_gpt":0.208315974936697,"score_spread":0.201897612995408,"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."}}