{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006800252,0.00006369438,0.0001731107,0.0001350665,0.000195794,0.0005418108,0.003381704,0.00003097339,0.00002707222],"category_scores_gemma":[0.00511946,0.00004575754,0.00003578624,0.001082373,0.00006243629,0.0003237703,0.002268467,0.0004642186,0.00002762406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004901407,"about_ca_system_score_gemma":0.0003787511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000187576,"about_ca_topic_score_gemma":0.000005243267,"domain_scores_codex":[0.9985539,0.000313137,0.000264911,0.000241076,0.0004234794,0.0002035314],"domain_scores_gemma":[0.9977159,0.00144761,0.0001140486,0.0002738373,0.0003958798,0.00005274489],"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":[0.00003526345,0.0001515941,0.009290175,0.001131839,0.00004061595,0.00000423751,0.0002278326,0.0004512254,0.00002325535,0.682197,0.03436612,0.2720808],"study_design_scores_gemma":[0.0005805107,0.0001784865,0.007917282,0.01825086,0.000008251172,0.0000102575,0.001496283,0.1031584,0.00003997401,0.2029224,0.6652449,0.0001923226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02310677,0.02421126,0.09803083,0.816578,0.001139138,0.005847065,0.0001361233,0.0001775005,0.03077337],"genre_scores_gemma":[0.9095355,0.05721701,0.02130651,0.001798378,0.0003201483,0.0006057151,0.0007258355,0.00002738706,0.008463575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8864287,"threshold_uncertainty_score":0.6284104,"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."}}