{"id":"W2133110153","doi":"10.1109/iembs.2008.4649288","title":"Detection of brachytherapy seeds using 3D ultrasound","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Brachytherapy; Ultrasound; Imaging phantom; Prostate brachytherapy; 3D ultrasound; Prostate; Radiology; Computer science; Medical physics; Medicine; Radiation therapy","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":[0.00003365951,0.00005665164,0.00006963784,0.00004191815,0.0001191783,0.000007307171,0.0002230662,0.00002377745,0.000007766617],"category_scores_gemma":[0.000006010944,0.00005239509,0.00002656762,0.0004616259,0.00004315497,0.0002883622,0.00002942547,0.00004909375,0.000008325768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001890216,"about_ca_system_score_gemma":0.00001884646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001799098,"about_ca_topic_score_gemma":0.000006152764,"domain_scores_codex":[0.999492,0.00001470143,0.0001244216,0.0001566787,0.0001038038,0.0001083235],"domain_scores_gemma":[0.9994711,0.00008109309,0.00006251389,0.0003110856,0.00004441789,0.00002984602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000351988,0.00004552727,0.001076635,0.000002589356,0.000007552143,0.000001785536,0.0002061676,0.008741617,0.9522364,0.008532948,0.00003048734,0.02911479],"study_design_scores_gemma":[0.0003700441,0.0001109231,0.01320889,0.000006893114,0.000004388768,0.0005864656,0.00001211506,0.2710148,0.7050424,0.005452577,0.003894998,0.0002955397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2398431,0.00004283132,0.7592704,0.00002718596,0.00004947594,0.00006424006,1.765069e-7,0.00008848249,0.0006140785],"genre_scores_gemma":[0.8164884,0.0000323631,0.1832342,0.0001019412,0.00003161356,0.000003635383,1.951591e-7,0.00000401032,0.0001036369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5766453,"threshold_uncertainty_score":0.213661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311198157444771,"score_gpt":0.2710109490643811,"score_spread":0.239891133319904,"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."}}