{"id":"W1994365858","doi":"10.1118/1.2898189","title":"A dual modality phantom for cone beam CT and ultrasound image fusion in prostate implant","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Fiducial marker; Imaging phantom; Cone beam computed tomography; Prostate brachytherapy; Ultrasound; Nuclear medicine; Medicine; 3D ultrasound; Image registration; Image-guided radiation therapy; Image fusion; Medical imaging; Brachytherapy; Biomedical engineering; Radiology; Computer science; Radiation therapy; Artificial intelligence; Computed tomography; Image (mathematics)","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":[0.001144079,0.0005886026,0.0003896106,0.0007264616,0.0002882064,0.0006239901,0.0009190487,0.0008976109,0.009284381],"category_scores_gemma":[0.001816119,0.0006696198,0.000466024,0.0007651092,0.0002503562,0.0003072889,0.0005589875,0.0006606411,0.002347208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003915853,"about_ca_system_score_gemma":0.001156697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006140241,"about_ca_topic_score_gemma":0.000951793,"domain_scores_codex":[0.9994561,0.0001597589,0.00004325674,0.00008265766,0.0002264182,0.00003189333],"domain_scores_gemma":[0.9991621,0.0003549568,0.00005654505,0.0001776135,0.0002019169,0.00004688062],"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":[0.001062571,0.0004714588,0.00120333,0.0009981977,0.00005291048,0.0006338172,0.0002246444,0.04940024,0.7865812,0.01337044,0.009837235,0.136164],"study_design_scores_gemma":[0.0002759155,0.001962644,0.01145817,0.0002591124,0.0001925569,0.005218791,0.00007901397,0.3019171,0.4911853,0.004849255,0.1822333,0.0003688346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0212863,0.0007849284,0.9676203,0.000218064,0.0001906496,0.0008274805,0.001498367,0.002791403,0.004782397],"genre_scores_gemma":[0.1771826,0.0007571457,0.8076876,0.0003103321,0.00002500238,0.001845918,0.002400496,0.0008230029,0.00896786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009284381,"threshold_uncertainty_score":0.03105932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098247163370041,"score_gpt":0.2869217834022506,"score_spread":0.2759393117685502,"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."}}