{"id":"W2037751167","doi":"10.1016/j.ultrasmedbio.2005.04.003","title":"Comparison of calibration methods for spatial tracking of a 3-D ultrasound probe","year":2005,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stylus; Imaging phantom; Reproducibility; Calibration; Cube (algebra); Ultrasound; Repeatability; Accuracy and precision; Tracking (education); Biomedical engineering; Root mean square; Nuclear medicine; Mathematics; Computer science; Acoustics; Computer vision; Physics; Medicine; Statistics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00390658,0.0009781539,0.0007045299,0.002226444,0.0004352412,0.001183299,0.001216565,0.001737235,0.001971412],"category_scores_gemma":[0.02159098,0.0007606688,0.000769422,0.001891172,0.0003597267,0.001090518,0.00129708,0.0007055548,0.001004071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007076184,"about_ca_system_score_gemma":0.000722677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002055686,"about_ca_topic_score_gemma":0.001481077,"domain_scores_codex":[0.9962997,0.001139623,0.0001869384,0.000391866,0.001834351,0.0001475957],"domain_scores_gemma":[0.9866708,0.007215553,0.000856215,0.00132518,0.003798584,0.0001337742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002680988,0.0001918067,0.01189959,0.0008749471,0.0004525712,0.0001080959,0.0007457836,0.06293297,0.12642,0.004537478,0.002074888,0.7870809],"study_design_scores_gemma":[0.0002317412,0.0009899815,0.04197127,0.000250324,0.0005437527,0.001641466,0.0003195521,0.6618865,0.2746999,0.0026561,0.01448325,0.0003261472],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09663921,0.001998308,0.895158,0.0001876744,0.0002151234,0.0001052761,0.0001510312,0.002365325,0.003180129],"genre_scores_gemma":[0.6105811,0.00132574,0.3836992,0.0001651989,0.00005238123,0.0001364876,0.0005325956,0.0007350519,0.002772229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00390658,"threshold_uncertainty_score":0.02066022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366207991123672,"score_gpt":0.4307128262875672,"score_spread":0.3970507463763305,"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."}}