{"id":"W2003331591","doi":"10.1118/1.3115680","title":"An MRI‐compatible system for focused ultrasound experiments in small animal models","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thunder Bay Regional Health Sciences Centre; Thunder Bay Regional Research Institute; University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; University of Toronto","keywords":"Ultrasound; Focused ultrasound; Biomedical engineering; Magnetic resonance imaging; Therapeutic ultrasound; Computer science; Drug delivery; Medicine; Radiology; Materials science; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000863797,0.0001304657,0.0001906639,0.00002394824,0.00004839056,0.00002688596,0.0002095789,0.00009047492,0.000009596226],"category_scores_gemma":[0.000006829631,0.0001261767,0.00004743295,0.000131332,0.00002127061,0.0001192694,0.000003936655,0.0001258887,0.000008935283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006610633,"about_ca_system_score_gemma":0.00002909892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001321771,"about_ca_topic_score_gemma":0.00001291372,"domain_scores_codex":[0.9992089,0.00001098198,0.0001971521,0.0001694411,0.000162627,0.0002509432],"domain_scores_gemma":[0.9995255,0.00007662648,0.00001686426,0.0002108114,0.00001306055,0.0001570886],"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":[0.0001893987,0.004205148,0.00200574,0.00079846,0.0002285822,0.0000275827,0.01083807,0.1239982,0.4877733,0.2051579,0.004221563,0.160556],"study_design_scores_gemma":[0.003878918,0.0005077071,0.002401621,0.0002542284,0.00005350767,0.00001377658,0.0004790861,0.8416123,0.1193265,0.02834673,0.00211219,0.001013336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6065817,0.0001413911,0.3891659,0.0001057541,0.00009755976,0.000413797,0.00002161928,0.0004140238,0.003058181],"genre_scores_gemma":[0.9977711,0.0000100963,0.00167535,0.0001025878,0.0002685071,0.00009879164,0.00004272852,0.00002599006,0.000004876283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7176141,"threshold_uncertainty_score":0.5145338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683652923649626,"score_gpt":0.2592224492189301,"score_spread":0.2323859199824338,"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."}}