{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002811791,0.0005774496,0.0004123405,0.0006189652,0.000245936,0.0006205492,0.0008266864,0.000758743,0.0006399869],"category_scores_gemma":[0.009985064,0.0003648809,0.0002167787,0.000206701,0.0005811711,0.0005755657,0.0005107857,0.0004045845,0.0002993128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006447459,"about_ca_system_score_gemma":0.000785356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001384607,"about_ca_topic_score_gemma":0.000841161,"domain_scores_codex":[0.9984514,0.000285285,0.0001461038,0.0002495044,0.0007989662,0.0000686429],"domain_scores_gemma":[0.9957847,0.001443482,0.001140486,0.0004287775,0.00107996,0.0001225373],"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":[0.0005018567,0.00009346258,0.003273365,0.0001657526,0.00004129506,0.00009069854,0.0001184752,0.003670309,0.9741715,0.0001472553,0.00018857,0.01753753],"study_design_scores_gemma":[0.00005827024,0.005321531,0.01258175,0.0000411344,0.0002492337,0.001043825,0.00005269793,0.02166348,0.9568289,0.0001022407,0.002006246,0.00005072272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8209144,0.002921569,0.1726017,0.000379639,0.0001151514,0.0002472668,0.0002212911,0.001210537,0.001388486],"genre_scores_gemma":[0.9373749,0.0008984884,0.06027406,0.0001983298,0.00004851187,0.0001187559,0.0002884087,0.00008201636,0.0007166155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002811791,"threshold_uncertainty_score":0.01487035,"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."}}