{"id":"W2795710321","doi":"10.1145/3170427.3174361","title":"Leveraging Augmented Reality Training Tool for Medical Education","year":2018,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Division of Graduate Education","keywords":"Usability; Augmented reality; Computer science; Patient safety; Competence (human resources); Human–computer interaction; Health care; Multimedia; Medical education; Medicine; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007362096,0.00008363699,0.00009486182,0.0000562692,0.0002419533,0.00008136912,0.0006610489,0.0000630605,0.0001353283],"category_scores_gemma":[0.0002570757,0.00007742939,0.00004398835,0.0002682328,0.00008015539,0.0002499432,0.0001284235,0.00007015483,0.00004658261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007611256,"about_ca_system_score_gemma":0.0007359094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007862465,"about_ca_topic_score_gemma":0.00003816712,"domain_scores_codex":[0.998826,0.00003958497,0.0002529638,0.0003460702,0.0003055331,0.0002298936],"domain_scores_gemma":[0.9990017,0.0001078651,0.00006797236,0.0005202586,0.000174785,0.0001273504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000343682,0.0001411722,0.00005488579,0.00001064007,0.00001676462,1.616639e-7,0.001662073,0.000002899586,0.0002142698,0.4413112,0.0380659,0.5185167],"study_design_scores_gemma":[0.0009398079,0.0001309331,0.003333871,0.00007729483,0.00001819648,0.00004140151,0.0006234618,0.6965308,0.003385736,0.06092743,0.2335289,0.0004621169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002572074,0.000005830321,0.962655,0.0205189,0.000290303,0.00034003,0.000001628387,0.0002714545,0.01334477],"genre_scores_gemma":[0.8857495,0.000003360347,0.1060113,0.00586175,0.0004631218,0.0003091578,0.00003049094,0.00001036631,0.001560964],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8831775,"threshold_uncertainty_score":0.3157479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05767377720195666,"score_gpt":0.3500577276431455,"score_spread":0.2923839504411889,"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."}}