{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088991,0.0001233427,0.0004834889,0.0002005178,0.0001166376,0.0000424488,0.00002771055,0.0001192603,0.000430613],"category_scores_gemma":[0.002095094,0.0001045746,0.0002899243,0.0004271111,0.00005018571,0.0001056025,0.00001694208,0.0001424358,0.00002042584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006960284,"about_ca_system_score_gemma":0.0002825784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004541215,"about_ca_topic_score_gemma":0.000004798675,"domain_scores_codex":[0.9988192,0.00008348938,0.0004103894,0.0002524284,0.0001567024,0.0002778393],"domain_scores_gemma":[0.9947469,0.004687096,0.00006555075,0.0001977945,0.0001896438,0.0001129813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003171103,0.000592667,0.30541,0.0005219241,0.000576513,0.0001040478,0.0002156241,0.00009573173,0.0004276156,0.005072254,0.2108973,0.4729153],"study_design_scores_gemma":[0.003588204,0.00003635345,0.3201467,0.001102028,0.0001430528,0.00001044225,0.0003306476,0.005428181,0.006692988,0.001416209,0.6607626,0.0003426184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014805,0.0006845024,0.00565545,0.02086451,0.001623409,0.0009143472,0.00004083566,0.0003908846,0.06834558],"genre_scores_gemma":[0.991828,0.00006361432,0.0001367446,0.003418512,0.0001773377,0.00006767773,0.0001123697,0.00001299971,0.004182799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4725726,"threshold_uncertainty_score":0.471491,"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."}}