{"id":"W4368232701","doi":"10.2139/ssrn.4426138","title":"Towards an Intelligent Assistive System Based on Augmented Reality and Serious Games","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Augmented reality; Human–computer interaction; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003637314,0.0008319038,0.0005717695,0.0004975375,0.0003678621,0.001167639,0.001167312,0.0009805635,0.004774583],"category_scores_gemma":[0.0004680108,0.0002984711,0.000530328,0.0002058356,0.0003019356,0.0009849961,0.001265498,0.0005243789,0.001765319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633002,"about_ca_system_score_gemma":0.0004370206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444052,"about_ca_topic_score_gemma":0.00127081,"domain_scores_codex":[0.9997355,0.00005549145,0.00002013479,0.00005892602,0.000098396,0.00003146179],"domain_scores_gemma":[0.9998504,0.00003179735,0.000008814895,0.00001806741,0.00006571432,0.00002519358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001360652,0.0007233375,0.003747881,0.0006810731,0.0002407443,0.001225261,0.001283166,0.0165241,0.5222385,0.01791377,0.008727493,0.425334],"study_design_scores_gemma":[0.0004328664,0.003382395,0.01157228,0.0002484586,0.0006190664,0.002986522,0.0006486733,0.6608296,0.2118481,0.01030145,0.09685966,0.0002710243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05991391,0.000446037,0.9230502,0.000222933,0.0001631206,0.0004274464,0.0001547672,0.006083659,0.009537891],"genre_scores_gemma":[0.4478685,0.0005819873,0.5323031,0.0003092951,0.00004829717,0.0004382465,0.0004242993,0.0001792126,0.01784704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004774583,"threshold_uncertainty_score":0.01597255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781618634139203,"score_gpt":0.2836655431836728,"score_spread":0.2658493568422807,"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."}}