{"id":"W2297949645","doi":"10.2196/mededu.5159","title":"Feasibility of Augmented Reality in Clinical Simulations: Using Google Glass With Manikins","year":2016,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Augmented reality; Fidelity; Computer science; Human–computer interaction; Multimedia","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":[0.004987262,0.0009217717,0.0003973229,0.0007086823,0.0004849808,0.001811449,0.001158054,0.0009525283,0.006435986],"category_scores_gemma":[0.01932693,0.0004556571,0.001404787,0.0003159374,0.001067679,0.001236599,0.002395287,0.0005869279,0.001131422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004751262,"about_ca_system_score_gemma":0.001123668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515998,"about_ca_topic_score_gemma":0.002078437,"domain_scores_codex":[0.9948418,0.003062121,0.0003930401,0.0002576461,0.00112632,0.0003192227],"domain_scores_gemma":[0.9934989,0.003593499,0.0006486567,0.0007737254,0.0008623895,0.0006227502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007820582,0.005383038,0.17007,0.004460634,0.0004550855,0.004162172,0.02993475,0.01818508,0.08754965,0.002061394,0.007643413,0.6622742],"study_design_scores_gemma":[0.003252101,0.09379433,0.4675347,0.006715796,0.002225578,0.03376612,0.04263816,0.05809336,0.09931809,0.005110088,0.1854228,0.002128858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592698,0.0008502099,0.02905966,0.001176585,0.0002222949,0.001188385,0.0002818539,0.000639952,0.007311281],"genre_scores_gemma":[0.9669665,0.0006084339,0.03049684,0.0001739671,0.00005791203,0.0004026854,0.0001598257,0.00005033212,0.001083687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006435986,"threshold_uncertainty_score":0.02637541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302730885015105,"score_gpt":0.516659139832898,"score_spread":0.3863860513313875,"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."}}