{"id":"W2262354220","doi":"10.1113/jp271404","title":"Computational models of atrial cellular electrophysiology and calcium handling, and their role in atrial fibrillation","year":2015,"lang":"en","type":"review","venue":"The Journal of Physiology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Montreal Heart Institute","funders":"Canadian Institutes of Health Research","keywords":"Cardiac electrophysiology; Electrophysiology; Atrial fibrillation; Computational model; Neuroscience; Computer science; Ion channel; Medicine; Cardiology; Artificial intelligence; Biology; Internal medicine; Receptor","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":[0.0004643916,0.0007153695,0.0009445642,0.0005163117,0.0004279811,0.001874843,0.001338824,0.001893016,0.002500431],"category_scores_gemma":[0.002046506,0.0004498947,0.00115178,0.0006415298,0.0009633798,0.001279457,0.001501959,0.0009286768,0.0006447813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006262983,"about_ca_system_score_gemma":0.001049939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004402894,"about_ca_topic_score_gemma":0.002529909,"domain_scores_codex":[0.9997596,0.0000833171,0.00002534774,0.00003713991,0.00006724067,0.00002735167],"domain_scores_gemma":[0.9993094,0.0004644315,0.00006678888,0.00003689244,0.00007017514,0.00005231122],"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":[0.00003697802,0.00001911812,0.0008170885,0.0002202982,0.0000490067,0.0001785997,0.00008152115,0.9267082,0.001417249,0.0575944,0.002119143,0.0107584],"study_design_scores_gemma":[0.00002052226,0.00001733211,0.0003576434,0.00005717064,0.00002616073,0.0001084809,0.00002886299,0.9463794,0.0002702486,0.04115025,0.01156122,0.00002254437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.08727714,0.04286342,0.7817076,0.009377319,0.000975018,0.000148296,0.002386087,0.0007608692,0.07450426],"genre_scores_gemma":[0.7711359,0.06427283,0.1341659,0.00142682,0.001146187,0.0008897134,0.002671598,0.0006378337,0.02365317],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004402894,"threshold_uncertainty_score":0.008754551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03252570380328661,"score_gpt":0.3081863958624119,"score_spread":0.2756606920591253,"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."}}