{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001285729,0.0000416909,0.00006011253,0.00009930538,0.00008613054,0.00007869649,0.0001812196,0.0000176167,0.00001696875],"category_scores_gemma":[0.000007907432,0.00003770704,0.00001672141,0.0007130207,0.0000154717,0.00021003,0.00004265858,0.00003141491,0.000006166821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000885733,"about_ca_system_score_gemma":0.000005531601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001241961,"about_ca_topic_score_gemma":0.00001010711,"domain_scores_codex":[0.9995571,0.00001999442,0.00008363175,0.0001660349,0.0000799931,0.00009323771],"domain_scores_gemma":[0.9996293,0.00002859898,0.0000300061,0.0002500092,0.00002858687,0.00003352546],"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":[0.00000148152,0.00006850862,0.007263676,0.00001648811,0.0001289899,1.645719e-7,0.0003392469,0.5567501,0.002146902,0.1536037,0.0001106809,0.2795701],"study_design_scores_gemma":[0.00004486947,0.00002663928,0.01739333,7.033341e-7,0.00002811313,0.000001499183,0.000001551922,0.9812196,0.0009554338,0.0001654611,0.0001150465,0.00004769149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01872352,0.000008235844,0.9764959,0.0005517552,0.000006251406,0.0000448924,7.478224e-8,0.00009537536,0.004074034],"genre_scores_gemma":[0.8176916,0.00001891559,0.1819994,0.0001270604,0.000006870077,0.000007150592,0.000002204114,0.000001583649,0.0001451368],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7989681,"threshold_uncertainty_score":0.1537648,"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."}}