{"id":"W4414475700","doi":"10.1111/jade.12613","title":"A Critical Analysis of Immersive Environments: A Methodology for Museum Education","year":2025,"lang":"en","type":"article","venue":"International Journal of Art & Design Education","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Museology; Rubric; Virtual reality; Immersive technology; Museum informatics; Instructional simulation; Museum education; Modalities","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":[0.0004188321,0.00008391764,0.0002240907,0.0005654889,0.00006489903,0.00006207362,0.0002280686,0.00003757346,0.0008977482],"category_scores_gemma":[0.0004183916,0.00007135358,0.0002335025,0.00007929026,0.0001015899,0.0003316103,0.00001454835,0.00007380947,0.000005497343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001195264,"about_ca_system_score_gemma":0.0004113765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004201309,"about_ca_topic_score_gemma":0.00002815403,"domain_scores_codex":[0.9990119,0.000121718,0.0004827153,0.0001058563,0.0001930196,0.00008484381],"domain_scores_gemma":[0.9981908,0.0004748596,0.0003308492,0.00008098788,0.0008844542,0.00003808359],"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":[0.0005283357,0.001905517,0.0002994042,0.00004671143,0.003780616,9.603958e-7,0.02220753,0.0002118323,0.02040427,0.8457001,0.07562551,0.02928919],"study_design_scores_gemma":[0.0007057709,0.0004607047,0.004496734,0.0002944506,0.003090624,0.00001572032,0.03737099,0.0005269382,0.008110617,0.04375115,0.9009078,0.0002685578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07214841,0.002553493,0.8227432,0.04501674,0.02785008,0.001050487,0.0001341817,0.00001471419,0.02848865],"genre_scores_gemma":[0.9802109,0.00007424712,0.01231145,0.001131383,0.0006583974,0.00003745822,0.00005122363,0.000006993229,0.005517963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9080625,"threshold_uncertainty_score":0.9829713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07662936427418843,"score_gpt":0.382479658912007,"score_spread":0.3058502946378185,"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."}}