{"id":"W2019508516","doi":"10.1109/ultsym.2006.414","title":"P2D-7 Simultaneous US/MR Imaging","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Transducer; Imaging phantom; Ultrasound; Scanner; Synchronizing; Medical imaging; Ultrasound imaging; Biomedical engineering; Materials science; Magnetic resonance imaging; Acoustics; Computer science; Physics; Optics; Radiology; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009342413,0.0004413606,0.0006843168,0.0006340653,0.0001990208,0.0009572301,0.0008599386,0.000989272,0.004750819],"category_scores_gemma":[0.0008432447,0.0005774395,0.000321965,0.0003473733,0.0004262651,0.0007790475,0.0009001533,0.0004818063,0.001471985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000245069,"about_ca_system_score_gemma":0.0003533638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001955085,"about_ca_topic_score_gemma":0.0002956444,"domain_scores_codex":[0.9991454,0.0001728843,0.00004606175,0.0001945734,0.0003822317,0.00005883651],"domain_scores_gemma":[0.9994316,0.0001582421,0.00005639172,0.000116107,0.0001727304,0.0000649811],"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":[0.0004130524,0.00008664359,0.0007669696,0.0002169179,0.00002872106,0.000306899,0.00003650457,0.0007209954,0.8727513,0.001126152,0.001797976,0.1217479],"study_design_scores_gemma":[0.000173605,0.001540553,0.004754538,0.00003199173,0.0001086423,0.005715389,0.00004590032,0.04549207,0.9014521,0.0009008474,0.03966878,0.0001155509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1494344,0.002184721,0.8328915,0.0005425434,0.000329137,0.0004108135,0.0003469484,0.004643019,0.00921695],"genre_scores_gemma":[0.3490291,0.0005763867,0.6418498,0.0003394802,0.0001383069,0.0002611737,0.0003180568,0.0001615188,0.007326163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004750819,"threshold_uncertainty_score":0.01589304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005787501678734763,"score_gpt":0.2928486426434913,"score_spread":0.2870611409647565,"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."}}