{"id":"W2007706971","doi":"10.1088/0031-9155/59/7/1679","title":"Numerical simulations of clinical focused ultrasound functional neurosurgery","year":2014,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":79,"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","keywords":"Ultrasound; Focused ultrasound; Focus (optics); Transducer; Neurosurgery; Materials science; Biomedical engineering; Acoustics; Ultrasonic sensor; Optics; Medicine; Radiology; Physics","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":[0.0003572755,0.0003839779,0.0004615535,0.0003355251,0.0003465426,0.0006376447,0.0008914316,0.001018499,0.001877178],"category_scores_gemma":[0.001851655,0.0003392133,0.0004917821,0.0004436215,0.0005380033,0.0003710694,0.0005706286,0.0003737099,0.0002634563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008361198,"about_ca_system_score_gemma":0.001064311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024275,"about_ca_topic_score_gemma":0.003750582,"domain_scores_codex":[0.9998034,0.00005939035,0.00001351941,0.00002398228,0.00007169291,0.00002808153],"domain_scores_gemma":[0.9994889,0.0002779099,0.00006234126,0.00004293929,0.00009671103,0.00003114835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002191795,0.00001281327,0.0004206091,0.00001411941,0.000004614886,0.00004150859,0.00002411938,0.9958592,0.0007065198,0.001285188,0.0001150373,0.00149435],"study_design_scores_gemma":[0.000008546939,0.00001288736,0.0001330294,0.000002426323,0.000001695589,0.00001520156,0.00000866028,0.9987789,0.0003397386,0.0003802356,0.0003153234,0.000003367935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4621217,0.0003848105,0.5110154,0.0005863251,0.0001345949,0.0003497263,0.0009850195,0.0007376358,0.02368492],"genre_scores_gemma":[0.9217794,0.0001936173,0.07322847,0.0001202523,0.00001239545,0.000438497,0.0004513028,0.00007584953,0.003700297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01024275,"threshold_uncertainty_score":0.02036631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2111428576208341,"score_gpt":0.3770857924761812,"score_spread":0.1659429348553471,"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."}}