{"id":"W2795037588","doi":"10.1002/mp.12894","title":"EM‐enhanced US‐based seed detection for prostate brachytherapy","year":2018,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Brachytherapy; Prostate brachytherapy; Imaging phantom; Fiducial marker; Ultrasound; Dosimetry; Ground truth; Prostate; Nuclear medicine; Subtraction; Medical imaging; Medicine; Artificial intelligence; Computer vision; Biomedical engineering; Computer science; Radiology; Mathematics; 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":[0.0003892441,0.00047085,0.0002698795,0.0004622794,0.00008870177,0.0003206184,0.0004435708,0.0003514264,0.001088553],"category_scores_gemma":[0.001512073,0.0003375387,0.0002406436,0.0002820066,0.0002552056,0.000297127,0.0003577643,0.0002489089,0.0004249022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002390009,"about_ca_system_score_gemma":0.0002512618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005035395,"about_ca_topic_score_gemma":0.0007628556,"domain_scores_codex":[0.9997934,0.00006406382,0.00001030798,0.00003656646,0.00008629983,0.00000946072],"domain_scores_gemma":[0.9995915,0.000174309,0.00008576499,0.0000510311,0.00007742224,0.00001990052],"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":[0.0005810179,0.00005842029,0.001967449,0.0003552025,0.00003950307,0.0001726748,0.0000541428,0.01306924,0.8640683,0.0003643345,0.000507642,0.118762],"study_design_scores_gemma":[0.00005709569,0.0006981064,0.01213109,0.00006471189,0.000144549,0.001702777,0.00002083356,0.3033233,0.6754866,0.0003587528,0.005943694,0.00006849483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2232307,0.004837185,0.7670642,0.0001630602,0.00008993306,0.0001278733,0.0001787368,0.002502828,0.001805572],"genre_scores_gemma":[0.6133178,0.001042659,0.3836331,0.0001019256,0.00003466399,0.00006852306,0.0001860812,0.0002142419,0.001401098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001088553,"threshold_uncertainty_score":0.003641605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008087567496508819,"score_gpt":0.2927273499400926,"score_spread":0.2846397824435838,"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."}}