{"id":"W2314267202","doi":"10.1161/circep.114.002306","title":"Tracking Rotors With Minimal Electrodes","year":2015,"lang":"en","type":"article","venue":"Circulation Arrhythmia and Electrophysiology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Tracking (education); Ventricular fibrillation; Computer science; Rotor (electric); SIGNAL (programming language); Pattern recognition (psychology); Biomedical engineering; Artificial intelligence; Cardiology; Medicine; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001423493,0.0003628942,0.000234721,0.0004029432,0.00009251539,0.0002773709,0.0003084274,0.0003822598,0.001106459],"category_scores_gemma":[0.001021766,0.0001302522,0.0001332653,0.0002211229,0.0001509363,0.0003596689,0.0002657107,0.0001443108,0.0005006514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009992937,"about_ca_system_score_gemma":0.0001024969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001835212,"about_ca_topic_score_gemma":0.0003973741,"domain_scores_codex":[0.9998803,0.00001497703,0.000008816084,0.00004736658,0.00004014632,0.000008345357],"domain_scores_gemma":[0.9996161,0.000150148,0.00007985412,0.0000709368,0.00006625823,0.00001665428],"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":[0.000246822,0.00005308886,0.006624155,0.0002074333,0.00002816776,0.0001933421,0.00008125466,0.006021715,0.7018125,0.0006867597,0.0006298236,0.2834149],"study_design_scores_gemma":[0.00007332336,0.001244768,0.07028694,0.00007904538,0.0001273429,0.003634526,0.0000823585,0.302242,0.6092041,0.003679754,0.009285646,0.00006029443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.243257,0.0009244405,0.7523894,0.00009161882,0.00006262679,0.00006350513,0.0001833552,0.000945428,0.002082689],"genre_scores_gemma":[0.7616124,0.0003449798,0.2362357,0.00006852905,0.00004465522,0.00007054982,0.0002239827,0.00005722804,0.00134191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001106459,"threshold_uncertainty_score":0.003701508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778886179904015,"score_gpt":0.2527918697061093,"score_spread":0.2350030079070692,"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."}}