{"id":"W2128738313","doi":"10.1109/tbme.2010.2050886","title":"Evaluation of Model-Enhanced Ultrasound-Assisted Interventional Guidance in a Cardiac Phantom","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Imaging phantom; Visualization; Ultrasound; Medical physics; Computer science; Computer vision; Artificial intelligence; Radiology; Medicine; Biomedical engineering","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":[0.0009993255,0.0006337207,0.0004625581,0.000411687,0.0001661584,0.0006798815,0.0007630472,0.0008868991,0.0007389055],"category_scores_gemma":[0.004717467,0.0003363983,0.0003460569,0.0003077002,0.0005534893,0.0003875618,0.0005554514,0.0003158404,0.0001453892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003968373,"about_ca_system_score_gemma":0.0008258872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369014,"about_ca_topic_score_gemma":0.00108722,"domain_scores_codex":[0.9994541,0.0001921679,0.00003545445,0.00005607829,0.0002147262,0.00004750687],"domain_scores_gemma":[0.9972191,0.001863202,0.0002920181,0.0002179003,0.0002717949,0.0001361174],"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":[0.001137721,0.0006799184,0.002892308,0.0004306455,0.00007598881,0.0008808238,0.0006089633,0.3457626,0.6236278,0.001234939,0.0005779543,0.02209026],"study_design_scores_gemma":[0.0002354218,0.004894708,0.008028491,0.00008824871,0.0001776292,0.0019944,0.0001955174,0.6182236,0.3604546,0.0005448118,0.004973207,0.0001893482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8445065,0.000730092,0.1506122,0.0002917499,0.00007152789,0.0002402115,0.0003162307,0.001067448,0.002164163],"genre_scores_gemma":[0.9335417,0.0004570044,0.06443809,0.0001114,0.00001091456,0.0001264351,0.0002370888,0.0001199352,0.0009575569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001369014,"threshold_uncertainty_score":0.005285025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563996943580588,"score_gpt":0.3215132709862159,"score_spread":0.28587330155041,"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."}}