{"id":"W4391307135","doi":"10.1109/smc53992.2023.10394126","title":"SWOT Analysis of Extended Reality in Architecture Engineering and Construction Organizations","year":2023,"lang":"en","type":"article","venue":"","topic":"Strategic Planning and Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design; George Brown College","funders":"Canada Research Chairs","keywords":"SWOT analysis; Thematic analysis; Strengths and weaknesses; Architecture; Weakness; Process (computing); Process management; Construction industry; Computer science; Engineering management; Knowledge management; Engineering; Business; Construction engineering; Marketing; Qualitative research; Sociology; Geography; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001352505,0.0000574194,0.0001567734,0.001061715,0.00002955204,0.00004150213,0.00004007762,0.00002760436,0.00007328312],"category_scores_gemma":[0.00009878552,0.00005131412,0.00003087096,0.006103087,0.00001760767,0.0001020276,0.00002805228,0.00004419873,0.000004743543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004369211,"about_ca_system_score_gemma":0.000004785903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007937731,"about_ca_topic_score_gemma":0.0002569414,"domain_scores_codex":[0.9995662,0.000003102654,0.0001466673,0.0001210743,0.0000756208,0.00008733096],"domain_scores_gemma":[0.9997831,0.00002899333,0.00005212734,0.00007980238,0.00005122293,0.000004779144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001046497,0.00003891854,0.6211376,0.0001717873,0.00082395,0.00001394015,0.0002010982,0.2995289,0.003985273,0.06912924,0.0004208321,0.004538],"study_design_scores_gemma":[0.0001180427,0.000001123673,0.6079734,0.00001247436,0.0004010558,5.350115e-7,0.0004797349,0.3893487,0.00003749907,0.001311927,0.0002257089,0.00008981613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936309,0.000007852588,0.002671131,0.0003479871,0.00002662237,0.00002834669,0.00000315968,0.0001192496,0.003164783],"genre_scores_gemma":[0.99949,0.00000474942,0.0002702153,0.00003322101,0.00004168788,0.000001366554,0.00008871024,0.000004213479,0.00006578906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08981978,"threshold_uncertainty_score":0.2932331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115160652036758,"score_gpt":0.2209079458482227,"score_spread":0.2093918806445469,"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."}}