{"id":"W2065095088","doi":"10.1118/1.4903950","title":"The targeting accuracy of a preclinical MRI‐guided focused ultrasound system","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Sunnybrook Health Science Centre","funders":"Canada Research Chairs","keywords":"Ultrasound; Biomedical engineering; Focus (optics); Focused ultrasound; Magnetic resonance imaging; Transducer; Nuclear medicine; Medicine; Computer science; Radiology; Acoustics; Physics; Optics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001527617,0.0001600463,0.0004088806,0.0000241683,0.0001198514,0.00002628165,0.0002594157,0.0001165461,0.00001000395],"category_scores_gemma":[0.009182415,0.0000956396,0.0002228538,0.0003407559,0.0004768223,0.00007038613,0.00005193831,0.0004907607,0.00004841117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004713729,"about_ca_system_score_gemma":0.0004273369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006439242,"about_ca_topic_score_gemma":0.000001787773,"domain_scores_codex":[0.9975505,0.0001246211,0.0005938013,0.0002388333,0.001145269,0.0003469767],"domain_scores_gemma":[0.9960824,0.002484156,0.0002064057,0.0004288961,0.0002902509,0.0005078879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002168455,0.00399974,0.3330992,0.00246917,0.002376844,0.0001178799,0.009241219,0.00007922891,0.01043752,0.01847678,0.4474144,0.1701195],"study_design_scores_gemma":[0.0397134,0.004780937,0.0233204,0.007304977,0.002726055,0.001461939,0.01149708,0.01264515,0.02882282,0.01988258,0.8453324,0.002512249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8943713,0.002495386,0.07226898,0.00808432,0.002645868,0.001038008,0.00002039217,0.0005921811,0.01848351],"genre_scores_gemma":[0.9971113,0.00006635648,0.001289619,0.0003344281,0.001028559,0.00001710284,0.00002075766,0.0000271711,0.0001046941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.397918,"threshold_uncertainty_score":0.9991637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03766176695844766,"score_gpt":0.3235024160219075,"score_spread":0.2858406490634599,"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."}}