{"id":"W2319346049","doi":"10.1117/12.2082414","title":"Beating heart mitral valve repair with integrated ultrasound imaging","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Imaging phantom; Mitral valve; Proof of concept; Ultrasound; Mitral valve repair; Biomedical engineering; Medicine; Orientation (vector space); Heart valve; Computer science; Radiology; Computer vision; Cardiology","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":[0.0005801351,0.0003510955,0.0003769698,0.0003112695,0.00009377432,0.0006711397,0.0005944964,0.0006664961,0.001435816],"category_scores_gemma":[0.0008435115,0.000324859,0.0002615325,0.0001617684,0.0002514211,0.0006364508,0.0007273288,0.000404334,0.0003821392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776515,"about_ca_system_score_gemma":0.0002426609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002350471,"about_ca_topic_score_gemma":0.0004219078,"domain_scores_codex":[0.9996756,0.00006111197,0.00001820825,0.00005610089,0.0001584001,0.00003054495],"domain_scores_gemma":[0.9996459,0.0001138562,0.00008264679,0.00005181491,0.00006310961,0.00004254775],"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":[0.0002420999,0.0002082793,0.001313993,0.0002574441,0.0000369036,0.0006291289,0.0001108739,0.001111696,0.926668,0.0007280436,0.0008898654,0.06780357],"study_design_scores_gemma":[0.0002444997,0.005157129,0.0177793,0.0001945934,0.0002659967,0.01131609,0.0001165235,0.07557684,0.8559764,0.001021061,0.03211605,0.0002354614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4795565,0.006524116,0.4999329,0.0006816037,0.0003432125,0.0003349367,0.0002552391,0.002868124,0.009503344],"genre_scores_gemma":[0.6660296,0.001483145,0.3272732,0.0004739702,0.000115571,0.0001754105,0.0001629521,0.0001654191,0.004120739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001435816,"threshold_uncertainty_score":0.0048033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151072429815585,"score_gpt":0.2659767997734215,"score_spread":0.2544660754752657,"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."}}