{"id":"W2726936488","doi":"10.1088/1361-6560/aa7cd5","title":"Design of patient-specific focused ultrasound arrays for non-invasive brain therapy with increased trans-skull transmission and steering range","year":2017,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Canada Research Chairs","keywords":"Focused ultrasound; Skull; Ultrasound; Phased array; Transducer; Ultrasound energy; Beam steering; Transmission (telecommunications); Phase (matter); Biomedical engineering; Medicine; Acoustics; Computer science; Radiology; Beam (structure); Surgery; Optics; Physics; Telecommunications","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":[0.0002323893,0.000458738,0.0002478704,0.0002120859,0.0001122978,0.0004059451,0.0005159833,0.0005070831,0.0008042085],"category_scores_gemma":[0.0005527873,0.0003914717,0.0002146312,0.0001834685,0.0001904836,0.0002945196,0.0002772406,0.0003116808,0.0005533856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003270738,"about_ca_system_score_gemma":0.000358766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001335488,"about_ca_topic_score_gemma":0.0003242346,"domain_scores_codex":[0.9997968,0.00003828219,0.00001348353,0.0000449718,0.00007858742,0.00002789307],"domain_scores_gemma":[0.9997476,0.00005886153,0.00008898112,0.00001580458,0.00005947403,0.00002922111],"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":[0.000106814,0.00004572577,0.0003168635,0.000100564,0.00001769191,0.000117984,0.0000588843,0.005324075,0.9778723,0.001295242,0.0005651445,0.0141788],"study_design_scores_gemma":[0.0000869471,0.001156764,0.002533693,0.00002367001,0.00007544922,0.001351515,0.00005554731,0.0486391,0.9242277,0.0008689835,0.02090555,0.00007498025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1977119,0.002065847,0.7885908,0.0006367814,0.0002578774,0.0003796906,0.0003295642,0.0009107235,0.009116812],"genre_scores_gemma":[0.5286741,0.00158577,0.4634606,0.0003662508,0.00008226702,0.0005927452,0.0002716805,0.0001129799,0.004853787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008042085,"threshold_uncertainty_score":0.002690375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08965860624237723,"score_gpt":0.2924823797167325,"score_spread":0.2028237734743552,"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."}}