{"id":"W4288048751","doi":"10.3390/buildings12050566","title":"An Off-Site Construction Digital Twin Assessment Framework Using Wood Panelized Construction as a Case Study","year":2022,"lang":"en","type":"article","venue":"Buildings","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process (computing); Building information modeling; Engineering; Representation (politics); Construction engineering; Computer science; Systems engineering; Operations management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.007266241,0.0007199198,0.0003832255,0.005930411,0.002116745,0.005166777,0.001665507,0.0015071,0.004450581],"category_scores_gemma":[0.006649511,0.0003023879,0.0005644038,0.003887723,0.002938794,0.006142912,0.00509732,0.00109728,0.0004202923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00703283,"about_ca_system_score_gemma":0.005493347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660074,"about_ca_topic_score_gemma":0.03166654,"domain_scores_codex":[0.9944983,0.003224037,0.0002208824,0.0003352135,0.001332976,0.0003885818],"domain_scores_gemma":[0.9959675,0.001644463,0.0003265564,0.0002581165,0.00146387,0.0003394369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002336576,0.001124476,0.04227459,0.0006815332,0.0000625708,0.003150807,0.02826886,0.06964373,0.004744305,0.5474047,0.004664502,0.2977464],"study_design_scores_gemma":[0.0000712929,0.001035242,0.04616762,0.001622861,0.000177057,0.00180264,0.1312488,0.4534442,0.008727266,0.2167125,0.1386939,0.0002966184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.356824,0.0006917577,0.4710952,0.002030656,0.00007363009,0.002413945,0.0004447651,0.0002654429,0.1661607],"genre_scores_gemma":[0.8159612,0.0004065477,0.1762329,0.00009207043,0.000005989421,0.0005283413,0.0002545938,0.00002668379,0.006491583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01660074,"threshold_uncertainty_score":0.05102694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804423836876833,"score_gpt":0.2819925275902436,"score_spread":0.2639482892214752,"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."}}