{"id":"W4254065486","doi":"10.1177/155698451000500609","title":"Augmented Reality Image Guidance during Off-Pump Mitral Valve Replacement through the Guiraudon Universal Cardiac Introducer","year":2010,"lang":"en","type":"article","venue":"Innovations Technology and Techniques in Cardiothoracic and Vascular Surgery","topic":"Cardiac and Coronary Surgery Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; London Health Sciences Centre; Lawson Health Research Institute","funders":"","keywords":"Imaging phantom; Clipper (electronics); Augmented reality; Computer science; Intracardiac injection; Computer vision; Stereoscopy; Artificial intelligence; Biomedical engineering; Medicine; Simulation; Radiology; Surgery; Engineering","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":[0.001511407,0.0007214549,0.0003456774,0.0003631082,0.0001523989,0.0007318869,0.0008530762,0.0006685179,0.002850416],"category_scores_gemma":[0.002526248,0.0003892254,0.0006751186,0.0001374276,0.0005628641,0.0007504387,0.0007014574,0.0006464364,0.0006542341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485671,"about_ca_system_score_gemma":0.0002739833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004034621,"about_ca_topic_score_gemma":0.0007087475,"domain_scores_codex":[0.9991527,0.0003255384,0.00005021601,0.0001607492,0.0002113588,0.00009933852],"domain_scores_gemma":[0.9987196,0.0006096133,0.0002328825,0.0002187762,0.0001220722,0.00009710997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002046102,0.001023395,0.01355034,0.0008075549,0.0001530512,0.005804385,0.005926369,0.005092585,0.6859571,0.0005944959,0.001514653,0.2775299],"study_design_scores_gemma":[0.0006312245,0.04738946,0.1635447,0.0005587168,0.00103535,0.1175005,0.002846939,0.06748255,0.5270447,0.0008860243,0.07024687,0.0008330551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8530522,0.001233636,0.1418796,0.0002113415,0.00009453598,0.0001268893,0.0001107889,0.000926659,0.002364206],"genre_scores_gemma":[0.861545,0.0006263166,0.1345084,0.0002148734,0.00007958677,0.00006636476,0.0001252938,0.0001596135,0.00267453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002850416,"threshold_uncertainty_score":0.009535611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136672809087113,"score_gpt":0.2872326923988846,"score_spread":0.2758659643080135,"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."}}