{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001106167,0.0002564612,0.0005091993,0.0001552683,0.000146127,0.00001904466,0.00003803529,0.0001885469,0.0000254295],"category_scores_gemma":[0.00007277536,0.0002053793,0.00009581046,0.0003026158,0.0002169705,0.0001421587,0.0000190776,0.0003457238,0.00003767225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009873353,"about_ca_system_score_gemma":0.0002601215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001239319,"about_ca_topic_score_gemma":0.000003215523,"domain_scores_codex":[0.9984506,0.0001040191,0.0002414585,0.0004935515,0.0001698642,0.0005405191],"domain_scores_gemma":[0.99912,0.00005647853,0.0001020013,0.0002565791,0.0002035355,0.000261429],"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":[0.004985275,0.00007560535,0.008373688,0.00006443632,0.0003394252,0.0006372775,0.0004300541,0.001157572,0.9601345,0.005644316,0.0004064862,0.01775134],"study_design_scores_gemma":[0.01323748,0.01486762,0.8382965,0.0001505269,0.0008095186,0.03117748,0.0003727138,0.006726407,0.06994426,0.01251353,0.01004921,0.001854777],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958955,0.0006251815,0.0009630037,0.0008789147,0.00008053776,0.0003763666,0.000001229473,0.0001359945,0.001043239],"genre_scores_gemma":[0.9974741,0.00006656494,0.0006746884,0.0005898619,0.0009175609,0.00005044535,0.00005709179,0.00003692227,0.0001327285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8901902,"threshold_uncertainty_score":0.8375124,"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."}}