{"id":"W2545717196","doi":"10.1109/iembs.2004.1404108","title":"Defibrillation current density imaging: comparison of in-vivo and post-mortem measurements in a pig","year":2005,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Current (fluid); Defibrillation; Current density; Biomedical engineering; Electrical current; In vivo; Medicine; Nuclear magnetic resonance; Materials science; Cardiology; Electrical engineering; Physics; Biology","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":[0.0003376582,0.000200209,0.0002148986,0.0004890817,0.0001550202,0.0003439021,0.0002666408,0.0006491483,0.0007099968],"category_scores_gemma":[0.0007240967,0.0002041969,0.0001159636,0.0001870337,0.00047271,0.0004091612,0.0001501546,0.0003890646,0.0002079335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002265713,"about_ca_system_score_gemma":0.0001049094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006717158,"about_ca_topic_score_gemma":0.000792205,"domain_scores_codex":[0.9999119,0.00001840434,0.000005375803,0.00002295451,0.00002261981,0.00001873372],"domain_scores_gemma":[0.9996012,0.0001254967,0.00009531276,0.00003475147,0.00009567586,0.00004758678],"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":[0.0004429085,0.00006026811,0.003692006,0.00006862482,0.000009573194,0.0002454172,0.0001848421,0.000151548,0.9893132,0.00006240626,0.00006530689,0.005703896],"study_design_scores_gemma":[0.00005667369,0.0032646,0.1777747,0.00004551167,0.000105133,0.002614615,0.0003820753,0.003774119,0.8094801,0.0001805365,0.002280129,0.0000418903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867617,0.0006326995,0.01094832,0.00008369298,0.00002247691,0.00003145193,0.0001186145,0.00009114901,0.001309965],"genre_scores_gemma":[0.9919144,0.0007989146,0.005287364,0.00008989976,0.00001988173,0.00004141784,0.0002565019,0.00002868364,0.001563014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007099968,"threshold_uncertainty_score":0.002375245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354179867252616,"score_gpt":0.263674686404633,"score_spread":0.2401328877321068,"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."}}