{"id":"W4403748760","doi":"10.24908/pceea.2023.17140","title":"Augmented Reality Applications for Curriculum in Computer Science and Engineering","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"Mitacs","keywords":"Curriculum; Augmented reality; Computer science; Science and engineering; Engineering ethics; Engineering; Mathematics education; Human–computer interaction; Sociology; Psychology; Pedagogy","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":[0.001013909,0.0005073178,0.0002895799,0.000591021,0.0003601172,0.001705389,0.0007036545,0.000707005,0.01810074],"category_scores_gemma":[0.003174502,0.0002028248,0.000380679,0.0007078329,0.0002314085,0.0008523538,0.001159437,0.0006084925,0.003461628],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003217076,"about_ca_system_score_gemma":0.0007452768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007249992,"about_ca_topic_score_gemma":0.001841963,"domain_scores_codex":[0.9988888,0.0004276728,0.00005824476,0.00008093713,0.0004666174,0.00007769816],"domain_scores_gemma":[0.9987478,0.0005198242,0.00008496908,0.0002077745,0.0003292705,0.0001102811],"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":[0.0002383389,0.0005237051,0.001443688,0.0007120284,0.00002727074,0.0002455521,0.0008740051,0.002822841,0.09448174,0.01465979,0.009881171,0.8740898],"study_design_scores_gemma":[0.000187602,0.00502007,0.0314698,0.0008103385,0.0001507913,0.003233674,0.001378894,0.02159902,0.08583738,0.01504415,0.8350981,0.0001701619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1866422,0.01032537,0.6679673,0.002472492,0.000872377,0.001578446,0.0007216117,0.008227875,0.1211923],"genre_scores_gemma":[0.5608125,0.005724221,0.3680592,0.0007482313,0.0001426326,0.001004681,0.0009154369,0.0002623445,0.06233076],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9996783,"threshold_uncertainty_score":0.06055301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005931275295375044,"score_gpt":0.2282504801080672,"score_spread":0.2223192048126922,"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."}}