{"id":"W2116303141","doi":"","title":"Non-invasive epicardial imaging of human ventricular fibrillation","year":2013,"lang":"en","type":"article","venue":"Computing in Cardiology Conference","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Torso; Tikhonov regularization; Inverse problem; Body surface; Fibrillation; Ventricular fibrillation; Mathematics; Cardiology; Mathematical analysis; Medicine; Atrial fibrillation; Geometry; Anatomy","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":[0.0001461258,0.0001245274,0.0001187301,0.0001705181,0.00006143445,0.0002350916,0.000144175,0.0002305282,0.0007759691],"category_scores_gemma":[0.00089906,0.0001219656,0.00009775846,0.00007134012,0.0001385576,0.0002075341,0.0002312192,0.0001261187,0.0001148044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004920416,"about_ca_system_score_gemma":0.00009666222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002966526,"about_ca_topic_score_gemma":0.0003935538,"domain_scores_codex":[0.9999415,0.00002297938,0.000002931807,0.0000102161,0.00001753868,0.000004833498],"domain_scores_gemma":[0.9998984,0.00005716176,0.000007660561,0.0000178074,0.00001264673,0.000006282924],"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":[0.0005206377,0.00006937328,0.007705218,0.0001670523,0.00003425875,0.0006336991,0.0004031037,0.02610171,0.8294048,0.000936087,0.0004630153,0.133561],"study_design_scores_gemma":[0.0002250485,0.001824311,0.1279288,0.00009620275,0.0001140639,0.01091078,0.0003875455,0.5780895,0.2675884,0.00608837,0.006644367,0.0001025759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8343923,0.0004067695,0.1631576,0.00009501398,0.0000162694,0.00004295423,0.0001122001,0.0001502219,0.001626644],"genre_scores_gemma":[0.9590259,0.0002408982,0.0398244,0.00003301735,0.00001151249,0.00002898467,0.00009275484,0.00002058889,0.0007218018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007759691,"threshold_uncertainty_score":0.002595842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304118707805017,"score_gpt":0.2660168900038329,"score_spread":0.2529757029257827,"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."}}