{"id":"W4408345066","doi":"10.1001/jamasurg.2024.5494","title":"Wearable Intraoperative Augmented Reality for Surgery","year":2025,"lang":"en","type":"article","venue":"JAMA Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Augmented reality; Wearable computer; Workflow; Wearable technology; Medical physics; General surgery; Human–computer interaction; Computer science","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":[0.0006901208,0.0006933649,0.0002410213,0.0006448817,0.0003446313,0.001705104,0.0007237176,0.000969056,0.009430951],"category_scores_gemma":[0.002270078,0.0002476615,0.0006372681,0.0004361839,0.0004557075,0.001371328,0.002472474,0.0009798724,0.002365519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104578,"about_ca_system_score_gemma":0.0003625781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002600815,"about_ca_topic_score_gemma":0.0005009584,"domain_scores_codex":[0.9990583,0.0002479682,0.00005054123,0.00009712706,0.0004790885,0.00006696609],"domain_scores_gemma":[0.9988955,0.0004607033,0.0001257137,0.0002191708,0.0002019693,0.00009684303],"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":[0.0004137018,0.0001724663,0.00313448,0.001160387,0.0001009598,0.0009058503,0.0007800339,0.004497224,0.05115861,0.05075773,0.05019487,0.8367236],"study_design_scores_gemma":[0.0001172117,0.001675065,0.009055983,0.001585349,0.000241008,0.009838814,0.0007349505,0.02571095,0.05880454,0.03726482,0.854633,0.0003382118],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05571941,0.04469669,0.6948491,0.01057996,0.006725407,0.0002910946,0.001209623,0.005588231,0.1803405],"genre_scores_gemma":[0.5896484,0.04705262,0.3034227,0.004180275,0.003833155,0.0004029749,0.0009779583,0.0005148973,0.04996705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009430951,"threshold_uncertainty_score":0.03154963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06770332691553513,"score_gpt":0.3449824887821974,"score_spread":0.2772791618666622,"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."}}