{"id":"W2129789591","doi":"10.1002/lary.22153","title":"Augmented image guidance improves skull base navigation and reduces task workload in trainees: A preclinical trial","year":2011,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"University of Toronto","keywords":"Augmented reality; Workload; Cadaver; Computer vision; Task (project management); Artificial intelligence; Endoscopy; Skull; Virtual image; Medicine; Computer science; Surgery; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007789006,0.0001224765,0.0002521733,0.00004381821,0.00005751959,0.0000201209,0.00007806865,0.0000805256,0.0002324004],"category_scores_gemma":[0.0003721907,0.00007936296,0.00005952581,0.0002128193,0.0001513418,0.0001163331,0.00003427117,0.0002435778,0.00002246593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001770272,"about_ca_system_score_gemma":0.00004190183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006290062,"about_ca_topic_score_gemma":0.000006946841,"domain_scores_codex":[0.9988728,0.000142239,0.0003883621,0.0002400569,0.000158471,0.000198064],"domain_scores_gemma":[0.9993117,0.0002744902,0.00008936643,0.0001849533,0.00003469342,0.0001047831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.2221032,0.004076859,0.01220189,0.0003459205,0.0004766559,0.0005732113,0.03709292,0.00001329668,0.1077706,0.001158984,0.001024651,0.6131618],"study_design_scores_gemma":[0.5061452,0.007270873,0.3989359,0.00456686,0.0006846561,0.0001325993,0.005018304,0.0194469,0.03621607,0.004771876,0.01535739,0.001453273],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895226,0.0004801931,0.00004314311,0.0008428582,0.0001401192,0.0007002042,0.000003584878,0.00005925103,0.008208062],"genre_scores_gemma":[0.9979287,0.00005076647,0.0009664994,0.0005325385,0.0001761249,0.00004461401,0.00001372544,0.00001430652,0.0002726619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6117085,"threshold_uncertainty_score":0.3236327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06573947161797652,"score_gpt":0.3375113222357444,"score_spread":0.2717718506177679,"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."}}