{"id":"W2970112726","doi":"10.1109/tnb.2019.2937327","title":"Enhancing Thermal Effect of Focused Ultrasound Therapy Using Gold Nanoparticles","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on NanoBioscience","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"High-intensity focused ultrasound; Ultrasound; Materials science; Therapeutic ultrasound; Ablation; Biomedical engineering; Colloidal gold; Absorption (acoustics); Focused ultrasound; Ultrasonic sensor; Medicine; Nanoparticle; Nanotechnology; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002294387,0.000370084,0.0002388373,0.0001877503,0.0001274393,0.000173452,0.0001948449,0.0004221823,0.0005159245],"category_scores_gemma":[0.0003020761,0.0001940554,0.0002859464,0.0001094821,0.0002813339,0.0003348853,0.000241945,0.0002434897,0.0001266834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109299,"about_ca_system_score_gemma":0.0001723012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008841863,"about_ca_topic_score_gemma":0.0007303975,"domain_scores_codex":[0.9998528,0.00002643652,0.00000493358,0.00004544808,0.00004179529,0.00002863724],"domain_scores_gemma":[0.9999154,0.00003046581,0.00002082769,0.000007979499,0.0000169693,0.000008372785],"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":[0.00003269255,0.000008079088,0.0000364957,0.00003567211,0.000002458441,0.00001956541,0.00001997687,0.0003056861,0.9980612,0.00009068342,0.0000268689,0.001360593],"study_design_scores_gemma":[0.000006103615,0.0001407091,0.0003566647,0.000003558703,0.000007761795,0.00004147637,0.000007247731,0.002128489,0.9967378,0.00002771221,0.0005373152,0.000005263176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716558,0.003771428,0.02159059,0.0001310707,0.00006603771,0.00004707868,0.00004629402,0.0001596905,0.002531909],"genre_scores_gemma":[0.9863662,0.001235386,0.01068354,0.00009362766,0.00001587325,0.0000431353,0.00003577638,0.00001936791,0.001507158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008841863,"threshold_uncertainty_score":0.002255976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009395935993384704,"score_gpt":0.2196220816769957,"score_spread":0.210226145683611,"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."}}