{"id":"W2142278754","doi":"10.1109/tmi.2007.903572","title":"Progress in Multimodality Imaging: Truly Simultaneous Ultrasound and Magnetic Resonance Imaging","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Imaging phantom; Magnetic resonance imaging; Medical imaging; Modality (human–computer interaction); Multimodality; Modalities; Computer science; Medical physics; Clinical imaging; Breast imaging; Preclinical imaging; Artificial intelligence; Computer vision; Biomedical engineering; Radiology; Medicine; Mammography; In vivo","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":[0.009974954,0.001265476,0.001967307,0.002833471,0.0003796566,0.002558715,0.002376925,0.002864873,0.003107215],"category_scores_gemma":[0.005599754,0.0009685096,0.0009075121,0.002509952,0.002867365,0.007183085,0.003180419,0.003561907,0.001121229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007765549,"about_ca_system_score_gemma":0.001048128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000473649,"about_ca_topic_score_gemma":0.0003912739,"domain_scores_codex":[0.9959965,0.001459252,0.0002065804,0.0007516816,0.001343256,0.0002428105],"domain_scores_gemma":[0.9928988,0.004290417,0.0006323378,0.0006409881,0.001208522,0.0003290423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003675625,0.0004497564,0.002228764,0.003563236,0.0002337154,0.0003455876,0.0005966501,0.002389102,0.1617307,0.04450779,0.006436388,0.7771507],"study_design_scores_gemma":[0.0003518859,0.005095655,0.01110137,0.002199875,0.000635912,0.01300209,0.000860375,0.05295622,0.2354482,0.06247365,0.615051,0.0008238123],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02466409,0.4198795,0.5331758,0.005447956,0.0009685693,0.0002499736,0.0001080217,0.0008843504,0.01462175],"genre_scores_gemma":[0.1433193,0.243505,0.5988643,0.002711359,0.004473634,0.000535216,0.0003588866,0.0002873852,0.00594494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009974954,"threshold_uncertainty_score":0.05275327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008507952994434926,"score_gpt":0.3167403015789209,"score_spread":0.3082323485844859,"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."}}