{"id":"W3211009370","doi":"10.3389/fphys.2021.763584","title":"From Millimeters to Micrometers; Re-introducing Myocytes in Models of Cardiac Electrophysiology","year":2021,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bidomain model; Cardiac electrophysiology; Electrophysiology; Myocyte; Cardiac myocyte; In silico; Biological system; Cardiac action potential; Computer science; Neuroscience; Computational model; Thermal conduction; Physics; Biophysics; Chemistry; Biology; Repolarization; Medicine; Simulation; Internal medicine","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":[0.0006205625,0.0009421958,0.0006339807,0.0004698535,0.0004128251,0.001398582,0.001602191,0.001314444,0.001791063],"category_scores_gemma":[0.001714819,0.0006791652,0.0009084624,0.0005031454,0.001501035,0.002481342,0.002692409,0.0025347,0.001542804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005056481,"about_ca_system_score_gemma":0.0005931726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697275,"about_ca_topic_score_gemma":0.001276278,"domain_scores_codex":[0.999587,0.0001417132,0.00001924446,0.00009718198,0.0001239144,0.00003089208],"domain_scores_gemma":[0.999451,0.0001850838,0.00009949553,0.0001379376,0.00007031518,0.00005625112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001009109,0.00009077286,0.001545362,0.0003922506,0.00005714723,0.0004404087,0.0006038616,0.3339232,0.03499908,0.5721557,0.008396368,0.04729494],"study_design_scores_gemma":[0.00001788883,0.00007768886,0.0004289685,0.00007868428,0.00002846836,0.0003408552,0.00009685469,0.7467483,0.003017582,0.1955298,0.0535811,0.00005367045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01008356,0.002464644,0.973035,0.001170895,0.0004258322,0.00004224887,0.0002125883,0.0005338795,0.01203131],"genre_scores_gemma":[0.4471247,0.008554389,0.5150328,0.0009840423,0.000696324,0.0004470175,0.0003595083,0.0007607169,0.02604064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001791063,"threshold_uncertainty_score":0.005991697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008112413860908831,"score_gpt":0.2354104373230458,"score_spread":0.227298023462137,"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."}}