{"id":"W2607035382","doi":"10.1016/j.jcjo.2017.02.015","title":"Teaching binocular indirect ophthalmoscopy to novice residents using an augmented reality simulator","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Ophthalmology and Visual Health Research","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Augmented reality; Randomized controlled trial; Medicine; Ophthalmology; Virtual reality; Simulation; Physical therapy; Optometry; Computer science; Surgery; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002845381,0.0002832054,0.0008483226,0.0009368844,0.001498061,0.0001150096,0.0008759628,0.0004277059,0.0009356166],"category_scores_gemma":[0.002176301,0.0002695254,0.0001679666,0.0001727344,0.0003403915,0.0004448627,0.00009195587,0.001324697,0.0000489603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006376884,"about_ca_system_score_gemma":0.00392769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07075632,"about_ca_topic_score_gemma":0.0003629854,"domain_scores_codex":[0.9966001,0.0006770091,0.0008024821,0.0004344524,0.0004199822,0.001065995],"domain_scores_gemma":[0.994233,0.0001478943,0.0005719942,0.001047802,0.0006124239,0.003386903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001068673,0.0002575616,0.8447803,0.0001941299,0.0002159193,0.1494688,0.0005141033,0.0001458216,0.002408678,0.00008032519,0.0002260374,0.0006396234],"study_design_scores_gemma":[0.001619956,0.003715274,0.7099113,0.0003644323,0.0001003708,0.2819061,0.0001850533,0.0004572854,0.000878542,0.0002367977,0.0003741905,0.0002506908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902529,0.0002416254,0.00003426497,0.001643976,0.0009931986,0.000447343,0.00002826428,0.000006628594,0.006351759],"genre_scores_gemma":[0.9967115,0.000001639233,0.001568761,0.0001959526,0.0005987998,0.000003832233,0.000008850971,0.00005335266,0.0008573394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1348689,"threshold_uncertainty_score":0.9999776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2559396401316338,"score_gpt":0.5290251927958026,"score_spread":0.2730855526641688,"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."}}