{"id":"W35955993","doi":"10.1016/b978-1-78242-028-6.00022-3","title":"High-intensity focused ultrasound for medical therapy","year":2014,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Therapeutic ultrasound; Ultrasound; Microbubbles; High-intensity focused ultrasound; Miniaturization; Magnetic resonance imaging; Medicine; Biomedical engineering; Focused ultrasound; Transducer; Medical physics; Radiology; Materials science; Acoustics; Nanotechnology","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":[0.0002924094,0.00114159,0.0005446678,0.001601257,0.0004155225,0.001501119,0.0007545225,0.001214136,0.08293051],"category_scores_gemma":[0.0003043593,0.0003782347,0.0003000726,0.001494989,0.0005480202,0.002047064,0.001186779,0.001560229,0.03584698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005516112,"about_ca_system_score_gemma":0.0004470687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000497882,"about_ca_topic_score_gemma":0.001070085,"domain_scores_codex":[0.9997652,0.00001871202,0.00000760786,0.00003213551,0.0001639587,0.00001237255],"domain_scores_gemma":[0.9998939,0.00004572253,0.000006464612,0.0000114081,0.00003401983,0.000008516597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002612096,0.00005764284,0.00006062312,0.0009147526,0.00001333471,0.0001335961,0.0001992687,0.0008573737,0.0265714,0.04973417,0.1467929,0.7746388],"study_design_scores_gemma":[0.000004221403,0.00002300079,0.0001329965,0.0002108624,0.000008489549,0.0003782014,0.00003319235,0.0004672948,0.003299837,0.009798694,0.9856325,0.00001075069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001512785,0.1235577,0.05656067,0.001506439,0.003914267,0.00008225247,0.0001806888,0.0007401457,0.8119451],"genre_scores_gemma":[0.004629688,0.04755355,0.01303713,0.000669256,0.000901036,0.00006294941,0.0001501373,0.0002316801,0.9327645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08293051,"threshold_uncertainty_score":0.2774302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212141156089254,"score_gpt":0.2150340880110151,"score_spread":0.2029126764501225,"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."}}