{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002184357,0.001134732,0.0006923085,0.001115587,0.0006050881,0.0003758622,0.0009687117,0.0008837273,0.006858271],"category_scores_gemma":[0.001121395,0.0008653092,0.0004544335,0.0004249194,0.0007104886,0.0005735043,0.0006832585,0.001082088,0.003358667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306932,"about_ca_system_score_gemma":0.001063922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003639504,"about_ca_topic_score_gemma":0.00092935,"domain_scores_codex":[0.9992306,0.0001657693,0.00007919866,0.0001897787,0.0002790852,0.00005558113],"domain_scores_gemma":[0.9993296,0.0001554518,0.0001258673,0.0001862112,0.0001186734,0.00008426391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001740353,0.00008653598,0.00009495374,0.0001545309,0.000006537621,0.00008604714,0.00007082407,0.0002362237,0.9875296,0.0009171048,0.0008609213,0.009782627],"study_design_scores_gemma":[0.0002732845,0.002714782,0.002370591,0.00008121247,0.00008585521,0.001455307,0.00002606574,0.005168886,0.9001739,0.0004838772,0.08708297,0.00008328407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05654994,0.0009482962,0.9261574,0.0003262415,0.0003751928,0.004987855,0.001034732,0.0052851,0.004335278],"genre_scores_gemma":[0.07220066,0.001166364,0.9038137,0.00021697,0.00009308758,0.01349236,0.000891417,0.0003049552,0.007820359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006858271,"threshold_uncertainty_score":0.02294314,"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."}}