{"id":"W4389885610","doi":"10.22492/issn.2436-0503.2023.9","title":"Beyond CAVEs and Domes: Creating Accessible Multi-User Virtual Installations for Immersive Learning","year":2023,"lang":"en","type":"article","venue":"˜The œKyoto Conference on Arts, Media & Culture official conference proceedings","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":"Immersive technology; Cave; Virtual reality; Computer science; Exhibition; Fidelity; High fidelity; Cave automatic virtual environment; Human–computer interaction; Multimedia; Mixed reality; Engineering; Geography; Archaeology; Telecommunications; Computer-mediated reality","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":[0.001330706,0.001488497,0.0006725579,0.001181383,0.0009325685,0.003431647,0.002366635,0.001567727,0.02949725],"category_scores_gemma":[0.004255544,0.001063394,0.001493619,0.0006617693,0.0009126098,0.003849557,0.007791481,0.001574944,0.004729433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731974,"about_ca_system_score_gemma":0.0006177671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007907079,"about_ca_topic_score_gemma":0.002343327,"domain_scores_codex":[0.9990665,0.0002405098,0.00004004263,0.0001182765,0.0003871904,0.0001475469],"domain_scores_gemma":[0.9975027,0.001159391,0.00006826409,0.0006453582,0.0002455346,0.0003787035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001124473,0.001002759,0.003825649,0.003205929,0.0002831474,0.002956621,0.01381326,0.01754925,0.159415,0.02518697,0.0773953,0.6942416],"study_design_scores_gemma":[0.0005502301,0.001549139,0.01853209,0.001450319,0.0004073725,0.006174553,0.005330367,0.08750219,0.08391061,0.02786209,0.7658239,0.0009072591],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08109701,0.001070325,0.8372819,0.0005187863,0.0005619381,0.0006711045,0.001296098,0.03173243,0.04577059],"genre_scores_gemma":[0.3887263,0.0009483279,0.5535504,0.0004352026,0.0001340311,0.001010215,0.001792672,0.01151467,0.0418881],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02949725,"threshold_uncertainty_score":0.09867811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06352446027476448,"score_gpt":0.3156364822245267,"score_spread":0.2521120219497622,"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."}}