{"id":"W4383682054","doi":"10.35490/ec3.2023.320","title":"Future research directions of construction digital twins","year":2023,"lang":"en","type":"article","venue":"Computing in construction","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Automation; Computer science; Enhanced Data Rates for GSM Evolution; Order (exchange); Construction industry; Data science; Engineering; Construction engineering; Telecommunications; Business","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":[0.00499574,0.0006174793,0.0009629453,0.003435535,0.001600185,0.006725247,0.001587559,0.003100518,0.01821114],"category_scores_gemma":[0.00755688,0.0002903543,0.0009298858,0.00582756,0.004274891,0.01243393,0.003099284,0.003063245,0.002276297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00384173,"about_ca_system_score_gemma":0.01113141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003708017,"about_ca_topic_score_gemma":0.005161756,"domain_scores_codex":[0.997739,0.0009757594,0.0001428246,0.000319207,0.0005573398,0.0002658541],"domain_scores_gemma":[0.9906103,0.005891746,0.0005394722,0.0003597364,0.002029736,0.0005690673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007910311,0.0001251894,0.001501302,0.008379718,0.00004279429,0.0003060627,0.004465862,0.0005275391,0.0003676972,0.5649354,0.02177127,0.3974981],"study_design_scores_gemma":[0.00001351417,0.00008260331,0.002297713,0.01164844,0.00006319545,0.0005285571,0.01462752,0.0004651795,0.0003588001,0.1601914,0.8096834,0.000039789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006301575,0.83289,0.007209738,0.05799216,0.003068026,0.00009426517,0.0001789345,0.00006650802,0.09219879],"genre_scores_gemma":[0.08112863,0.8887782,0.008080177,0.009134969,0.001968246,0.0001993412,0.0002296759,0.00003475914,0.01044601],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01821114,"threshold_uncertainty_score":0.06092227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622556853986306,"score_gpt":0.2899873782045952,"score_spread":0.2537618096647322,"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."}}