{"id":"W2318401308","doi":"10.1109/embc.2014.6945125","title":"Electromagnetic tracking performance analysis and optimization","year":2014,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Cancer Care Ontario","keywords":"Computer science; Tracking (education)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119855,0.0007806505,0.0006100508,0.0006743341,0.0004096752,0.0008819049,0.0004564999,0.0006633347,0.002031841],"category_scores_gemma":[0.003408547,0.0002293962,0.0006027294,0.0006778183,0.0004336844,0.0006410011,0.0006526448,0.0004201004,0.0006241373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029269,"about_ca_system_score_gemma":0.001008441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005659605,"about_ca_topic_score_gemma":0.00211892,"domain_scores_codex":[0.9993425,0.000128737,0.00003514404,0.0001593605,0.0002786321,0.00005554131],"domain_scores_gemma":[0.9988588,0.0004794427,0.0001436289,0.00009379561,0.0004013536,0.00002299275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005397981,0.00002296342,0.001552995,0.0000838093,0.00002358858,0.0000295708,0.00003038627,0.9474441,0.003070373,0.002182125,0.0005714728,0.04493446],"study_design_scores_gemma":[0.000003752017,0.00003350342,0.0007313937,0.000006861444,0.00001031718,0.00002695844,0.000009778973,0.9948838,0.003052692,0.0005532139,0.0006803705,0.000007424772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03898862,0.0005191967,0.9501096,0.0002027731,0.0000296214,0.00004274212,0.00008769194,0.0004624698,0.009557307],"genre_scores_gemma":[0.8984697,0.0005686064,0.09442306,0.00007941104,0.00003570526,0.00009663635,0.0003196396,0.0001478526,0.005859464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005659605,"threshold_uncertainty_score":0.01125336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006708930691615518,"score_gpt":0.2138851091428491,"score_spread":0.2071761784512336,"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."}}