{"id":"W2085829641","doi":"10.1109/tbme.2012.2222642","title":"Prostate Brachytherapy Training With Simulated Ultrasound and Fluoroscopy Images","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Haptic technology; Brachytherapy; Fluoroscopy; Computer science; Ultrasound; Simulation; Prostate brachytherapy; Medical imaging; Medical physics; Artificial intelligence; Radiology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003547026,0.0005069026,0.0003346842,0.0003017926,0.000194143,0.0005603285,0.0009792229,0.0006979353,0.006257783],"category_scores_gemma":[0.001403182,0.0003042662,0.0004209962,0.0001659804,0.0002812752,0.0002654552,0.000674545,0.000367663,0.000602907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003643918,"about_ca_system_score_gemma":0.0005479617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149224,"about_ca_topic_score_gemma":0.001251915,"domain_scores_codex":[0.9997845,0.00007732177,0.0000117093,0.00003184387,0.00007739304,0.00001728108],"domain_scores_gemma":[0.9994886,0.0002968433,0.00002649543,0.00008288649,0.00005453582,0.00005057505],"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":[0.0009473274,0.0005581264,0.002383837,0.0003105219,0.00007185149,0.0005366747,0.0007230141,0.7675458,0.08013031,0.003275386,0.004187732,0.1393295],"study_design_scores_gemma":[0.0001020539,0.0004779133,0.001903586,0.00003339707,0.00003364755,0.0004583388,0.00006399356,0.9499019,0.034622,0.001284372,0.01105559,0.00006329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1952232,0.0002359256,0.7884353,0.0002609635,0.0001324205,0.0004278165,0.0003414499,0.005622003,0.009320929],"genre_scores_gemma":[0.7797933,0.0002798624,0.2119716,0.0001431429,0.00003289023,0.0005040805,0.0004922459,0.0005327463,0.00625018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006257783,"threshold_uncertainty_score":0.02093434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006360623088293848,"score_gpt":0.2408639445395192,"score_spread":0.2345033214512254,"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."}}