{"id":"W66148744","doi":"10.1007/978-3-642-23623-5_38","title":"Effects of Ultrasound Section-Thickness on Brachytherapy Needle Tip Localization Error","year":2011,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Cancer Care Ontario","keywords":"Beamwidth; Anechoic chamber; Ultrasound; Transducer; 3D ultrasound; Calibration; Computer science; Brachytherapy; Acoustics; Optics; Biomedical engineering; Radiology; Medicine; Physics","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":[0.0001030792,0.0000865804,0.00008885467,0.0001265639,0.00006267725,0.00002233252,0.0002086137,0.00005102778,0.00000615659],"category_scores_gemma":[0.00003539372,0.00007931865,0.00001889625,0.0008117224,0.0001047851,0.00008140723,0.00001505979,0.0001071463,0.000004340417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003556175,"about_ca_system_score_gemma":0.00001758792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002540847,"about_ca_topic_score_gemma":0.00001229435,"domain_scores_codex":[0.9994212,0.00001017227,0.0001145578,0.0001715789,0.0001368998,0.0001455305],"domain_scores_gemma":[0.9994777,0.0002362638,0.0000240317,0.0001857257,0.00004309619,0.0000331836],"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":[0.000002276746,0.00004724925,0.001740192,0.00003669405,0.00000322527,7.400109e-7,0.001429246,0.9555019,0.01767068,0.000263448,0.000008293379,0.02329611],"study_design_scores_gemma":[0.0001638191,0.00007339714,0.01896274,0.0000510917,0.000002998765,0.000006924741,7.335468e-7,0.7408593,0.23552,0.00419884,0.000028103,0.000132089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.140286,0.0000380511,0.8589139,0.00001292308,0.0005185271,0.0001212428,3.919723e-7,0.00006944719,0.00003952618],"genre_scores_gemma":[0.9671807,0.000007331804,0.03256037,0.0001475929,0.00008347696,0.000009889372,8.695798e-7,0.000009459913,3.139562e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8268947,"threshold_uncertainty_score":0.3234521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178124343805004,"score_gpt":0.2273905670039165,"score_spread":0.2156093235658664,"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."}}