{"id":"W4386532932","doi":"10.19173/irrodl.v24i3.7109","title":"OXREF: Open XR for Education Framework","year":2023,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Open educational resources; Operationalization; Knowledge management; Computer science; Sustainability; Mixed reality; Augmented reality; Open education; Cloud computing; Affordance; Equity (law); World Wide Web; Political science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01507712,0.001279938,0.000810558,0.003418007,0.002241449,0.01270329,0.006186347,0.006837829,0.1169828],"category_scores_gemma":[0.03409687,0.0009276717,0.001629356,0.004428174,0.003870086,0.01603422,0.0111652,0.004513722,0.05338119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006695749,"about_ca_system_score_gemma":0.01551467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070992,"about_ca_topic_score_gemma":0.007561888,"domain_scores_codex":[0.9856451,0.008038583,0.001256295,0.001239556,0.002492364,0.00132811],"domain_scores_gemma":[0.9837667,0.008810769,0.0008343183,0.002319793,0.002957117,0.001311365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004254905,0.00006807372,0.0002689263,0.0009283342,0.00001060641,0.0001487577,0.001094888,0.002736886,0.0001565838,0.8392767,0.08637226,0.06889542],"study_design_scores_gemma":[0.00002881291,0.00002538776,0.0001427315,0.0008388198,0.000006750762,0.00008280642,0.0006232964,0.001894803,0.0001370064,0.1271912,0.8690008,0.00002753046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00187714,0.002396488,0.4958692,0.02433326,0.001221715,0.002017162,0.01487154,0.02027581,0.4371377],"genre_scores_gemma":[0.07837297,0.006020377,0.701913,0.007777619,0.0006383336,0.0103716,0.02993987,0.008198136,0.1567681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1169828,"threshold_uncertainty_score":0.3913465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1379858096488342,"score_gpt":0.5313526989596925,"score_spread":0.3933668893108583,"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."}}