{"id":"W2106390876","doi":"10.1109/iembs.2008.4649091","title":"Surgical accuracy under virtual reality-enhanced ultrasound guidance: An in vitro epicardial dynamic study","year":2008,"lang":"en","type":"article","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Ontario Innovation Trust","keywords":"Visualization; Imaging phantom; Ultrasound; Virtual reality; Context (archaeology); Augmented reality; Computer science; Medical physics; Medicine; Biomedical engineering; Radiology; Human–computer interaction; Artificial intelligence","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":[0.0008726054,0.0003414851,0.0003751547,0.0003858397,0.0001626925,0.0005802216,0.0004004715,0.0005592102,0.0009502225],"category_scores_gemma":[0.004214631,0.0003006708,0.0003253871,0.0002195272,0.0005574817,0.0002986162,0.0004979944,0.0003665586,0.0002734493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978451,"about_ca_system_score_gemma":0.0002473246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443444,"about_ca_topic_score_gemma":0.001036035,"domain_scores_codex":[0.9991906,0.0002468322,0.00008382279,0.0001320704,0.000226515,0.0001200674],"domain_scores_gemma":[0.9959151,0.00266358,0.0004816033,0.0004450731,0.0003516468,0.0001428567],"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":[0.0009512326,0.0004613479,0.005380382,0.000211178,0.00006253974,0.0003154874,0.0008786747,0.02811995,0.9465754,0.0002112201,0.0001661009,0.01666649],"study_design_scores_gemma":[0.0001846148,0.01683193,0.07416786,0.00005153518,0.0003394721,0.002020105,0.0007984327,0.1399475,0.7625223,0.0003352488,0.002641023,0.000159868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850103,0.0003571586,0.01406425,0.00003416114,0.00002434822,0.00002520521,0.00007986606,0.00005695769,0.0003478173],"genre_scores_gemma":[0.9954842,0.0001929077,0.003907321,0.00001798268,0.000008123443,0.00001411695,0.00006292172,0.00001580875,0.0002966331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001443444,"threshold_uncertainty_score":0.00461489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04971617352954127,"score_gpt":0.3637043932014321,"score_spread":0.3139882196718908,"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."}}