{"id":"W2113583483","doi":"10.1093/europace/eul128","title":"Wave similarity of human ventricular fibrillation from bipolar electrograms","year":2007,"lang":"en","type":"article","venue":"EP Europace","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Ventricular fibrillation; Similarity (geometry); Fibrillation; Cardiology; Internal medicine; Atrial fibrillation; Artificial intelligence","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":[0.0004651264,0.0001954079,0.0002007973,0.002214342,0.0001032125,0.0006257987,0.0001645047,0.0002677183,0.001110212],"category_scores_gemma":[0.002606624,0.00008378924,0.0002589723,0.001097142,0.0002316579,0.0005563632,0.0002223339,0.0002011714,0.000547757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009122384,"about_ca_system_score_gemma":0.0001236473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002450826,"about_ca_topic_score_gemma":0.0003041261,"domain_scores_codex":[0.9998057,0.00005035649,0.00002628805,0.00002550223,0.00008012507,0.00001197457],"domain_scores_gemma":[0.9994454,0.0002691439,0.00008877228,0.00003970267,0.0001278842,0.00002915138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008440829,0.00005134992,0.01543727,0.0009823604,0.00009572985,0.0007107999,0.0007191354,0.003411574,0.3720487,0.004092376,0.001058336,0.6005483],"study_design_scores_gemma":[0.0003147,0.002497029,0.5422612,0.0005214624,0.0005475902,0.02717896,0.001558834,0.08855134,0.2574529,0.03699849,0.04179604,0.0003213638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5154822,0.008795565,0.4611234,0.0001802989,0.0001443442,0.0003433121,0.0007883545,0.0005802893,0.01256224],"genre_scores_gemma":[0.8480822,0.005023771,0.1437436,0.00007013355,0.0001436524,0.000116892,0.000967097,0.0001220346,0.001730755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002214342,"threshold_uncertainty_score":0.003714085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364977920047915,"score_gpt":0.2687518444212579,"score_spread":0.2551020652207788,"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."}}