{"id":"W1419547154","doi":"10.1118/1.4924091","title":"SU‐E‐J‐03: Characterization of the Precision and Accuracy of a New, Preclinical, MRI‐Guided Focused Ultrasound System for Image‐Guided Interventions in Small‐Bore, High‐Field Magnets","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reproducibility; Biomedical engineering; Accuracy and precision; Focused ultrasound; Ultrasound; Medicine; Materials science; Computer science; Radiology; Physics; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001632089,0.0002370885,0.0002220293,0.0003309494,0.0001657533,0.0004824704,0.0005748363,0.0004608925,0.0006828301],"category_scores_gemma":[0.003381941,0.0002076359,0.0001381879,0.0002596549,0.0004716523,0.0003054074,0.0001611839,0.000347523,0.0002587232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004554392,"about_ca_system_score_gemma":0.0004387711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383009,"about_ca_topic_score_gemma":0.001618158,"domain_scores_codex":[0.9991468,0.0001255936,0.0000831386,0.0001618314,0.0004262938,0.00005631827],"domain_scores_gemma":[0.9976696,0.0007589083,0.0005676285,0.0003613211,0.0005057394,0.0001367987],"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":[0.0001839403,0.00004557373,0.001026832,0.00006017816,0.00001286906,0.00001868406,0.00004553802,0.0004863607,0.9940788,0.00006643434,0.00009389003,0.003880937],"study_design_scores_gemma":[0.0000251129,0.001590891,0.009842866,0.000006530272,0.00003936741,0.0001892139,0.000023699,0.004886743,0.9820679,0.00001573049,0.001293723,0.00001820064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965762,0.00113182,0.03122754,0.00009252252,0.00004368391,0.000095223,0.000236696,0.0003638544,0.001046751],"genre_scores_gemma":[0.9714958,0.0002836941,0.02638951,0.00005815989,0.00001197949,0.00006494122,0.0004859742,0.00008915438,0.001120841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001632089,"threshold_uncertainty_score":0.008631468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09164506802950147,"score_gpt":0.3936689344269265,"score_spread":0.302023866397425,"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."}}