{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005120942,0.0002276584,0.0002650217,0.0003651802,0.0008763783,0.0000723397,0.001074454,0.00004331034,0.00008896837],"category_scores_gemma":[0.000009971279,0.0002519875,0.00006863028,0.002435761,0.0001025673,0.000372768,0.0006442093,0.0002762439,0.00007407977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00099358,"about_ca_system_score_gemma":0.0008187353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008625541,"about_ca_topic_score_gemma":0.00009029896,"domain_scores_codex":[0.9975618,0.0002353926,0.0005889747,0.0008309344,0.0004735526,0.0003093102],"domain_scores_gemma":[0.9975281,0.0001827234,0.0003351985,0.001459951,0.0003840412,0.0001100043],"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":[0.000004643978,0.002437594,0.004551634,0.00005339678,0.00005587183,1.674767e-7,0.001636984,0.000454173,0.0002251888,0.9166856,0.04795096,0.02594378],"study_design_scores_gemma":[0.0002088317,0.00002662297,0.05122994,0.00001078198,0.00002207637,0.00000702134,0.005302242,0.000234569,0.00008874008,0.03832632,0.9042258,0.0003170717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08053146,0.04071335,0.6580259,0.1412762,0.009758189,0.01377202,0.000149728,0.003104087,0.05266909],"genre_scores_gemma":[0.9481775,0.0002347202,0.005778966,0.002402758,0.0002909052,0.03515273,0.0003603776,0.00003008295,0.007571944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8783593,"threshold_uncertainty_score":0.9999933,"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."}}