{"id":"W7114908632","doi":"10.1109/mprv.2025.3622082","title":"SurgiKLAR: An Augmented Reality Framework for Improved Surgical Training","year":2025,"lang":"","type":"article","venue":"IEEE Pervasive Computing","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Usability; Augmented reality; Virtual reality; Imaging phantom; Transformative learning; User interface; Surgical procedures; Visualization","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":[0.0007561874,0.001389822,0.0004672878,0.0009636075,0.0003019275,0.001328239,0.001892528,0.001229206,0.01109656],"category_scores_gemma":[0.001204148,0.0006465511,0.001195091,0.0003376942,0.0004300564,0.0009022828,0.002831612,0.001020428,0.002554827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003978107,"about_ca_system_score_gemma":0.0009377348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001837038,"about_ca_topic_score_gemma":0.003189158,"domain_scores_codex":[0.9992917,0.000155064,0.000048643,0.0001134787,0.0003085814,0.00008259906],"domain_scores_gemma":[0.9996428,0.0001164673,0.00003372818,0.0000594851,0.00007374629,0.00007374319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001393107,0.000644631,0.002395238,0.001534068,0.0002733798,0.001018613,0.001407592,0.06088567,0.1250691,0.02134542,0.04102492,0.7430083],"study_design_scores_gemma":[0.0004744042,0.001767124,0.007872773,0.0007129201,0.0003473372,0.00399261,0.0006364567,0.5085251,0.08751872,0.01721195,0.3702626,0.0006779814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01126623,0.001404362,0.9570457,0.0004449261,0.0002223398,0.0002114425,0.0008246477,0.02252088,0.006059522],"genre_scores_gemma":[0.2106724,0.002013726,0.7723242,0.0006331124,0.000129665,0.0004781012,0.0019058,0.00134995,0.010493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01109656,"threshold_uncertainty_score":0.03712171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08200509811525111,"score_gpt":0.3779642481419435,"score_spread":0.2959591500266924,"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."}}