{"id":"W2511218519","doi":"10.1118/1.4961784","title":"Poster ‐ 10: QA of Ultrasound Images for Prostate Brachytherapy","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Imaging phantom; Image quality; Ultrasound; Brachytherapy; Prostate; Prostate brachytherapy; Medicine; Nuclear medicine; Quality assurance; Signal-to-noise ratio (imaging); Computer science; Medical physics; Artificial intelligence; Radiology; Image (mathematics); Cancer; Telecommunications; 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":[0.001841747,0.0006225316,0.0002763267,0.0009071905,0.0003495519,0.0007285678,0.0007110691,0.0006095594,0.0414181],"category_scores_gemma":[0.001753364,0.0003226078,0.0003266926,0.0005132124,0.000329554,0.0003323171,0.0008426757,0.0005896327,0.01057815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003888597,"about_ca_system_score_gemma":0.0006528511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000311341,"about_ca_topic_score_gemma":0.0003170771,"domain_scores_codex":[0.9994169,0.0001872011,0.00003386919,0.00009176675,0.0002209636,0.00004926858],"domain_scores_gemma":[0.9992685,0.0001476687,0.00006100719,0.0001325243,0.0002993926,0.00009104204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002550016,0.0002816884,0.005774866,0.001232243,0.00006731546,0.0002570676,0.0004061568,0.004585339,0.6489428,0.002132688,0.0341927,0.2995772],"study_design_scores_gemma":[0.0003216694,0.00298604,0.04741623,0.000242013,0.0001539657,0.002454976,0.0001490964,0.02068039,0.7605119,0.002309445,0.162618,0.0001561941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3170618,0.007138699,0.5134893,0.001946071,0.001632293,0.002856807,0.005883226,0.01677977,0.133212],"genre_scores_gemma":[0.6557077,0.001938358,0.2832955,0.0006566528,0.0005285847,0.0008339073,0.005935445,0.002810219,0.04829366],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0414181,"threshold_uncertainty_score":0.1385574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007886679200761137,"score_gpt":0.2877792248452453,"score_spread":0.2798925456444841,"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."}}