{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007917681,0.0001893866,0.0001711178,0.0001061534,0.00008705834,0.00002470467,0.00005491113,0.00004844658,0.0001250738],"category_scores_gemma":[9.441675e-7,0.000156175,0.00003693831,0.0001996909,0.00008891022,0.0002445556,3.862742e-7,0.000258816,0.000001489853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002526298,"about_ca_system_score_gemma":0.00001461607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001312008,"about_ca_topic_score_gemma":9.626333e-8,"domain_scores_codex":[0.9991871,0.00001077473,0.0001431143,0.0001678986,0.0001420513,0.0003491233],"domain_scores_gemma":[0.9995223,0.000114278,0.00002880874,0.0001234796,0.00001413237,0.0001970259],"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":[0.0001829909,0.0006623733,0.001738507,0.00005929203,0.0005869501,0.000006247569,0.004212391,0.04716307,0.6353078,0.0003195662,0.00005584684,0.3097049],"study_design_scores_gemma":[0.005170419,0.001389653,0.001981857,0.0004483357,0.0001479461,0.0001031595,0.0005676952,0.0442129,0.9207112,0.0001663674,0.02314535,0.001955073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1120136,0.00009121799,0.8872649,0.00003421968,0.0001231507,0.0001634765,0.00003318976,0.0002371059,0.00003915138],"genre_scores_gemma":[0.9597765,0.00004351006,0.03988301,0.00003181237,0.0001221133,0.00003338407,0.000005944285,0.00004725191,0.00005646071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8477629,"threshold_uncertainty_score":0.6368629,"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."}}