{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008862266,0.00009688781,0.000115342,0.00001674327,0.00006011992,0.00003568335,0.00006283588,0.00006688069,0.000005883625],"category_scores_gemma":[0.00002083301,0.00008623458,0.00002267073,0.0001539724,0.00003361837,0.00007412174,0.00001158968,0.0001218493,0.00002266461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007738173,"about_ca_system_score_gemma":0.00002576128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000212201,"about_ca_topic_score_gemma":0.000004218261,"domain_scores_codex":[0.9993666,0.000008774802,0.0001805036,0.0001190305,0.0002078871,0.0001172006],"domain_scores_gemma":[0.9996822,0.00002570785,0.00002729611,0.000134101,0.00003662483,0.00009406751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009845934,0.0002145544,0.0006680575,0.0004218811,0.0001372304,0.00001430374,0.001502706,0.1378,0.02442416,0.05514048,0.00111926,0.7785475],"study_design_scores_gemma":[0.007716796,0.0002628053,0.04241216,0.001654076,0.0002699074,0.0001590403,0.000458971,0.6656876,0.2320514,0.0429056,0.004441024,0.001980691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1559839,0.00009233156,0.8418106,0.0004517234,0.0001929586,0.0002443673,0.00000542526,0.0004257172,0.0007929241],"genre_scores_gemma":[0.9973175,0.00004334215,0.002254538,0.0000556909,0.0001837262,0.00004630907,0.00006297872,0.00002137076,0.00001454394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8413336,"threshold_uncertainty_score":0.3516544,"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."}}