{"id":"W4400128417","doi":"10.1161/circep.123.012684","title":"Observable Atrial and Ventricular Fibrillation Episode Durations Are Conformant With a Power Law Based on System Size and Spatial Synchronization","year":2024,"lang":"en","type":"article","venue":"Circulation Arrhythmia and Electrophysiology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; Montreal Heart Institute","funders":"Medical Research Council; National Health and Medical Research Council; National Heart Foundation of Australia; Hospital Research Foundation","keywords":"Observable; Synchronization (alternating current); Atrial fibrillation; Cardiology; Power (physics); Internal medicine; Power law; Medicine; Mathematics; Statistical physics; Statistics; Physics; Combinatorics; Topology (electrical circuits); Quantum mechanics","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":[0.001709881,0.0004214525,0.0005258389,0.0006759591,0.0002951982,0.001080584,0.001047698,0.0005495727,0.006847681],"category_scores_gemma":[0.01848092,0.0003560433,0.00102442,0.0006520617,0.0008789137,0.001700444,0.0007366124,0.0007728516,0.001163159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007914132,"about_ca_system_score_gemma":0.0008159108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797676,"about_ca_topic_score_gemma":0.002505196,"domain_scores_codex":[0.9993219,0.0001444065,0.00004915043,0.0002873986,0.0001406932,0.00005635103],"domain_scores_gemma":[0.9937932,0.004071386,0.0009609313,0.0006343583,0.0003322632,0.0002077644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001380124,0.000519145,0.1782373,0.002009301,0.0008128655,0.001257211,0.002753161,0.3362805,0.1076309,0.1227087,0.01668875,0.2297221],"study_design_scores_gemma":[0.0001046383,0.0002441057,0.0635065,0.00006717992,0.0001182234,0.0004935773,0.0001287203,0.8716053,0.008837577,0.05081243,0.003947158,0.0001346176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3418222,0.0003448824,0.6434094,0.000779877,0.0001049229,0.0004178394,0.002904268,0.003157812,0.007058703],"genre_scores_gemma":[0.9060944,0.0002555004,0.08800855,0.0001905351,0.00005919347,0.0007661078,0.001693941,0.0004021979,0.002529548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006847681,"threshold_uncertainty_score":0.02290779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00467883747624603,"score_gpt":0.2096467079923208,"score_spread":0.2049678705160748,"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."}}