{"id":"W4220971058","doi":"10.5539/hes.v12n2p47","title":"Augmented Reality Applications in Education: Arloopa Application Example","year":2022,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Augmented reality; Scope (computer science); Virtual reality; Computer science; Presentation (obstetrics); Mixed reality; Digital content; Artificial reality; Visualization; Creativity; Computer-mediated reality; Multimedia; Human–computer interaction; Psychology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006478284,0.0003835407,0.0002196063,0.0007191776,0.0004762975,0.001346977,0.0004852414,0.001381675,0.006060937],"category_scores_gemma":[0.001267809,0.0001667054,0.0004407086,0.0009430598,0.0002376171,0.001266198,0.0009369932,0.0006380067,0.002460124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405933,"about_ca_system_score_gemma":0.0003411374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007962241,"about_ca_topic_score_gemma":0.001523984,"domain_scores_codex":[0.9991379,0.0002895377,0.00007231536,0.00006358323,0.0003507335,0.00008593594],"domain_scores_gemma":[0.9993316,0.0003259853,0.00003029148,0.00005582428,0.0002108463,0.00004546652],"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":[0.0004828733,0.0009209731,0.006568254,0.00343895,0.00005006582,0.0058275,0.01102148,0.004301398,0.04690851,0.04039417,0.05833436,0.8217514],"study_design_scores_gemma":[0.00006425058,0.0006183718,0.01330068,0.001172411,0.00006725625,0.007332958,0.0036216,0.0118685,0.02626417,0.005772759,0.9298056,0.0001114007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2921121,0.02230066,0.3047041,0.007280819,0.001133626,0.001446575,0.001811225,0.007846632,0.3613642],"genre_scores_gemma":[0.6478434,0.01327548,0.2354497,0.001316988,0.0002409963,0.000781998,0.001486659,0.0004416578,0.09916303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006060937,"threshold_uncertainty_score":0.02027583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06841850207920126,"score_gpt":0.3661687580760646,"score_spread":0.2977502559968634,"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."}}