{"id":"W2995177752","doi":"10.36834/cmej.61705","title":"Augmented reality in medical education: a systematic review","year":2019,"lang":"en","type":"review","venue":"Canadian Medical Education Journal","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":221,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Augmented reality; Curriculum; Cochrane Library; Systematic review; Medical education; Quality (philosophy); Web of science; Computer science; Health technology; MEDLINE; Health care; Medical literature; Field (mathematics); Medicine; Psychology; Alternative medicine; Pathology; Meta-analysis; Artificial intelligence; Political science; Pedagogy; Mathematics","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":[0.01216669,0.001787397,0.006787491,0.01301348,0.0009707401,0.003900176,0.002380881,0.002649559,0.005424244],"category_scores_gemma":[0.05281091,0.001241242,0.007171739,0.01406549,0.00115481,0.003984919,0.00216485,0.001708276,0.0004844308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004474604,"about_ca_system_score_gemma":0.01492696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006350538,"about_ca_topic_score_gemma":0.0189911,"domain_scores_codex":[0.9850842,0.006259148,0.00432623,0.0008088589,0.003163223,0.0003582264],"domain_scores_gemma":[0.9530497,0.03601462,0.006285219,0.0006570522,0.003623177,0.0003701545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009590692,0.00002563191,0.0004997635,0.9463351,0.002970877,0.00008212943,0.0002607394,0.00008773352,0.00006779463,0.0002922326,0.001203737,0.04807817],"study_design_scores_gemma":[0.00009486618,0.0001347878,0.001777847,0.9677159,0.01590428,0.000271575,0.0003428456,0.00007905039,0.00009879707,0.0002412905,0.01331086,0.00002804244],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000678284,0.9981295,0.0001739797,0.0002095904,0.0000811725,0.000309653,0.0001455402,0.000006636656,0.0002657321],"genre_scores_gemma":[0.01161019,0.9859785,0.001022935,0.0004112755,0.00007386919,0.0006960544,0.0001175988,0.000004287754,0.00008517598],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01301348,"threshold_uncertainty_score":0.06434441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398036803498877,"score_gpt":0.3916741154106037,"score_spread":0.3476937473756149,"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."}}