{"id":"W4389102551","doi":"10.1121/10.0023523","title":"Enhancement of brain hyperthermia via transcranial magnetic resonance imaging-guided focused ultrasound and microbubbles—Heating mechanism investigation using COMSOL","year":2023,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microbubbles; Hyperthermia; Ultrasound; Materials science; Focused ultrasound; Bioheat transfer; Magnetic resonance imaging; Biomedical engineering; Bubble; Nuclear magnetic resonance; Transcranial Doppler; Heat transfer; Mechanics; Medicine; Acoustics; Physics; Radiology","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":[0.0002447531,0.0004352645,0.0002811647,0.0002619879,0.0001158912,0.0002765819,0.0003293219,0.0004122906,0.0006253923],"category_scores_gemma":[0.0003495287,0.0002306166,0.0004778655,0.0001963125,0.000347389,0.0004743577,0.0003757775,0.0002568945,0.000185629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103991,"about_ca_system_score_gemma":0.0002511602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005073374,"about_ca_topic_score_gemma":0.0006664295,"domain_scores_codex":[0.9998478,0.00002285113,0.000006219469,0.00002550587,0.00007647047,0.00002114058],"domain_scores_gemma":[0.9998661,0.00005622176,0.0000344458,0.00001303551,0.0000250095,0.000005169938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004415647,0.00002960474,0.0003886743,0.0002064547,0.00001887626,0.0001221837,0.0001028685,0.01958705,0.9649853,0.001963842,0.0001794637,0.01237158],"study_design_scores_gemma":[0.00001629503,0.0001382835,0.000931012,0.00001035814,0.00002772959,0.0002382099,0.00002992274,0.3249576,0.6692671,0.0006405834,0.003723954,0.00001897058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5287294,0.003071969,0.4605329,0.0004153342,0.0001127958,0.00007322487,0.00008585693,0.0008308879,0.006147554],"genre_scores_gemma":[0.9239726,0.001994045,0.07120255,0.00008133323,0.00002329623,0.0001056402,0.00007816788,0.00007054173,0.002471627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006253923,"threshold_uncertainty_score":0.002252162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128816554246936,"score_gpt":0.2253842366726091,"score_spread":0.2125025812479155,"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."}}