{"id":"W2089919971","doi":"10.1118/1.1645680","title":"Robot-assisted 3D-TRUS guided prostate brachytherapy: System integration and validation","year":2004,"lang":"en","type":"article","venue":"Medical Physics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":186,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"","keywords":"Brachytherapy; Imaging phantom; Prostate brachytherapy; Fiducial marker; Computer science; Robot; 3D ultrasound; Artificial intelligence; Computer vision; Ultrasound; Medical physics; Medicine; Radiology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002695869,0.0006635496,0.0006047938,0.0006198499,0.0003181072,0.0008229665,0.001579951,0.0008596288,0.002167764],"category_scores_gemma":[0.004065006,0.0003647642,0.0004310686,0.0004186368,0.0004621998,0.0005722722,0.0008157223,0.0003512847,0.000658063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008149624,"about_ca_system_score_gemma":0.001037576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004794145,"about_ca_topic_score_gemma":0.002342458,"domain_scores_codex":[0.9987888,0.0004317415,0.00008832664,0.0001781692,0.0004194455,0.00009354034],"domain_scores_gemma":[0.9978887,0.000596687,0.0001631907,0.0003378731,0.0009446085,0.00006884922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00237672,0.001521765,0.01988386,0.001637037,0.0004746448,0.0006457063,0.001113271,0.4930464,0.1116174,0.001877883,0.003529408,0.3622759],"study_design_scores_gemma":[0.0003132066,0.002606288,0.01579446,0.00006993397,0.0001203697,0.0002985766,0.0001978695,0.9189967,0.05702514,0.0003035086,0.004157472,0.0001165335],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6401508,0.0006301363,0.3462945,0.0001576073,0.000128088,0.001464601,0.0005646001,0.007702959,0.002906746],"genre_scores_gemma":[0.9010195,0.0001661246,0.09652835,0.00005575142,0.000007657195,0.0006203172,0.0005112241,0.0001536754,0.0009373637],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004794145,"threshold_uncertainty_score":0.01425731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630005795522272,"score_gpt":0.2482834071894853,"score_spread":0.2319833492342626,"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."}}