{"id":"W4415759991","doi":"10.34190/icer.2.1.4268","title":"Analysing Virtual Reality Applications in Built Environment Education: A Study of Existing Research","year":2025,"lang":"","type":"article","venue":"International Conference on Education Research","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Built environment; Relevance (law); Virtual reality; Experiential learning; Process (computing); Higher education; Scale (ratio); Scopus; Perception","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009012777,0.0003621504,0.0005060437,0.005066003,0.000918955,0.001008243,0.003949097,0.0002465222,0.000398937],"category_scores_gemma":[0.001765899,0.0003984773,0.000115119,0.006213249,0.0007560522,0.0006588931,0.001315589,0.001951216,0.000161957],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326257,"about_ca_system_score_gemma":0.01313995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01123274,"about_ca_topic_score_gemma":0.001399074,"domain_scores_codex":[0.9894283,0.002732983,0.001684107,0.001702491,0.003587726,0.0008643686],"domain_scores_gemma":[0.9897842,0.001695576,0.0004311834,0.002474786,0.005266138,0.0003481146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007343511,0.01700838,0.003546345,0.00005681007,0.00008447393,6.984271e-7,0.005223207,0.0004999905,0.000595067,0.668452,0.001434859,0.3030247],"study_design_scores_gemma":[0.002774082,0.003521319,0.2336585,0.003559233,0.00008366923,0.000007615428,0.2957661,0.114654,0.002105285,0.2323261,0.1101501,0.001393976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4714099,0.0005552029,0.03516677,0.03275897,0.001486949,0.007437815,0.00007114986,0.00005789244,0.4510553],"genre_scores_gemma":[0.9826262,0.0004801381,0.0005183388,0.00011913,0.000251631,0.002292246,0.00009126609,0.00001960769,0.01360143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5112163,"threshold_uncertainty_score":0.9998467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4206939252151262,"score_gpt":0.5670460428892484,"score_spread":0.1463521176741222,"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."}}