{"id":"W2084187198","doi":"10.1159/000097922","title":"Application Accuracy of an Electromagnetic Field-Based Image-Guided Navigation System","year":2006,"lang":"en","type":"article","venue":"Stereotactic and Functional Neurosurgery","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medtronic (Canada)","funders":"","keywords":"Fiducial marker; Imaging phantom; Computer science; Computer vision; Stereotaxis; Artificial intelligence; Trajectory; Field of view; Biomedical engineering; Nuclear medicine; Medicine; Physics","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":[0.0002064962,0.0001268925,0.0001497261,0.000114855,0.0001518355,0.00008616589,0.0001570484,0.00005721448,0.00000625851],"category_scores_gemma":[0.00004329278,0.0001279594,0.00005502874,0.0003581466,0.0000494855,0.0005045987,0.00003894312,0.0001082736,0.00001030484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003478724,"about_ca_system_score_gemma":0.00008575035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001390446,"about_ca_topic_score_gemma":0.000001978208,"domain_scores_codex":[0.9986754,0.00009496988,0.0003982813,0.0003820125,0.0002812219,0.0001680892],"domain_scores_gemma":[0.9984804,0.0005464029,0.0002918508,0.0004675549,0.0001494116,0.00006436871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002013075,0.001077036,0.006583552,0.0007067794,0.00005043508,0.00003731967,0.00005584532,0.001528055,0.7432144,0.2258471,0.003622643,0.01707559],"study_design_scores_gemma":[0.001534775,0.0006086227,0.2605073,0.0001053922,0.0001005897,0.0007662294,0.00004635424,0.6220116,0.1037922,0.00748881,0.002302745,0.0007353608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3590403,0.00002208206,0.6389873,0.0007058767,0.0001566507,0.0002603242,0.000006801647,0.0001558916,0.0006648101],"genre_scores_gemma":[0.9960335,0.000001502057,0.003465258,0.0001888409,0.00008844897,0.00009036188,0.00007427836,0.000009912466,0.00004791313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6394222,"threshold_uncertainty_score":0.5218033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220657356306633,"score_gpt":0.2369576075855664,"score_spread":0.2247510340225001,"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."}}