{"id":"W4414758767","doi":"10.1113/jp289425","title":"Mechanistic insights into sex differences in atrial electrophysiology and arrhythmia vulnerability through sex‐specific computational models","year":2025,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Heart, Lung, and Blood Institute; Deutsche Forschungsgemeinschaft; National Institute on Aging; National Institutes of Health; European Commission; American Heart Association","keywords":"Atrial fibrillation; Cardiac electrophysiology; Repolarization; Electrophysiology; Afterdepolarization; Atrial action potential; Effective refractory period; Ryanodine receptor; Sinus rhythm; Refractory period","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":[0.0003302314,0.0004331612,0.0004741541,0.0002901902,0.0002121714,0.0006071976,0.0007437326,0.000853549,0.002249759],"category_scores_gemma":[0.001198067,0.0002386557,0.0009011285,0.0001741801,0.0003191951,0.0003136,0.0005933736,0.0004254109,0.0001763337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003088977,"about_ca_system_score_gemma":0.0005641863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004429465,"about_ca_topic_score_gemma":0.002818189,"domain_scores_codex":[0.9999135,0.00003163686,0.000004653167,0.0000191591,0.00001285256,0.00001827804],"domain_scores_gemma":[0.9996173,0.0002301099,0.00005908792,0.0000233046,0.00004097924,0.00002916691],"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":[0.00007567523,0.00005433576,0.006737304,0.00005746964,0.00008148011,0.0001634241,0.00006767847,0.9816313,0.003505473,0.003436126,0.0004920641,0.003697537],"study_design_scores_gemma":[0.00001441596,0.00003412319,0.001357231,0.000009126584,0.00003014536,0.00004667589,0.00002435588,0.9961789,0.0003368935,0.001367668,0.0005914822,0.000009012449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990762,0.0007979822,0.08723044,0.0006768513,0.0001013699,0.00007389365,0.001394325,0.0001743737,0.01047449],"genre_scores_gemma":[0.9897574,0.000333191,0.007296659,0.0001342444,0.00002050102,0.000109755,0.0003316829,0.0000445536,0.001971995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004429465,"threshold_uncertainty_score":0.008807361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687172303396485,"score_gpt":0.2748696377475208,"score_spread":0.2579979147135559,"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."}}