{"id":"W3010731429","doi":"10.1016/j.ultrasmedbio.2020.01.002","title":"Ultrasound-Responsive Cavitation Nuclei for Therapy and Drug Delivery","year":2020,"lang":"en","type":"review","venue":"Ultrasound in Medicine & Biology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":337,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Engineering and Physical Sciences Research Council; Fonds Wetenschappelijk Onderzoek; Phospholipid Research Center; European Research Council; Vlaamse regering; European Commission; National Heart, Lung, and Blood Institute; Canada Excellence Research Chairs, Government of Canada; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Cavitation; Ultrasound; Drug delivery; Medicine; Drug; Materials science; Radiology; Pharmacology; Nanotechnology; Acoustics; Physics","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":[0.0004009689,0.0008636486,0.0008693827,0.001401045,0.0002255256,0.0007035328,0.0006630759,0.0008382038,0.00445802],"category_scores_gemma":[0.0004080805,0.0003354742,0.0002925216,0.001428981,0.0004133403,0.0009949247,0.0007243099,0.001174091,0.00245117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004409554,"about_ca_system_score_gemma":0.0005751904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009994,"about_ca_topic_score_gemma":0.001961346,"domain_scores_codex":[0.9998794,0.00001601719,0.000008839547,0.00002549639,0.00005299411,0.00001728944],"domain_scores_gemma":[0.9998839,0.00005741958,0.00002199748,0.000004707581,0.00002278257,0.000009137301],"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":[0.00005964595,0.00009105301,0.00007533076,0.0130931,0.0000580624,0.0001541794,0.00005649961,0.0006831188,0.02300966,0.009207577,0.01961198,0.9338998],"study_design_scores_gemma":[0.00001433881,0.0001088897,0.0003202129,0.001179251,0.00005340241,0.0005160875,0.00002984577,0.0002814841,0.007503383,0.001718847,0.9882513,0.00002307488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004719648,0.9935308,0.0009520177,0.0001642056,0.000297309,0.00001660304,0.00003161717,0.00001858936,0.004516948],"genre_scores_gemma":[0.002838752,0.9916152,0.000853902,0.0001933819,0.0001788211,0.00003142737,0.00006402909,0.000005673477,0.004218835],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00445802,"threshold_uncertainty_score":0.01491356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571655960208173,"score_gpt":0.3082461911510664,"score_spread":0.2725296315489846,"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."}}