{"id":"W4392778561","doi":"10.1177/10915818241237988","title":"<i>In Silico</i> Human Cardiomyocyte Action Potential Modeling: Exploring Ion Channel Input Combinations","year":2024,"lang":"en","type":"article","venue":"International Journal of Toxicology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal; Université de Montréal; Canadian Nuclear Laboratories","funders":"","keywords":"Proarrhythmia; In silico; Ventricular action potential; Ion channel; Cardiac action potential; Sodium channel; Potassium channel; hERG; Inward-rectifier potassium ion channel; Chemistry; Pharmacology; Electrophysiology; Cardiac electrophysiology; Biophysics; QT interval; Cardiology; Internal medicine; Biology; Medicine; Sodium; Repolarization; Biochemistry; Receptor","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":[0.0002418477,0.0004038604,0.0003537895,0.0001847562,0.0001677528,0.0006265613,0.000608981,0.0008140571,0.002741514],"category_scores_gemma":[0.0006186939,0.0001745442,0.0006294541,0.0001449078,0.0001723298,0.0003078153,0.0003420731,0.0003427705,0.0004144052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002588955,"about_ca_system_score_gemma":0.0004299413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003993594,"about_ca_topic_score_gemma":0.003054776,"domain_scores_codex":[0.9999267,0.00002277018,0.00000499713,0.00001322004,0.0000214161,0.00001090271],"domain_scores_gemma":[0.9997619,0.0001502668,0.00002394406,0.00001893992,0.00003499414,0.000009928327],"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":[0.00006048578,0.00004589665,0.001751923,0.000115477,0.00003391502,0.000224073,0.00006636162,0.9744291,0.01367153,0.002016566,0.0008238278,0.006760844],"study_design_scores_gemma":[0.000008193474,0.00003589875,0.0003180345,0.00001184208,0.00001330595,0.00004741754,0.00001416798,0.9936932,0.003832555,0.0006317366,0.001386276,0.000007482608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4031154,0.0006992541,0.5624608,0.0008964415,0.0001417338,0.000185117,0.002548351,0.001728398,0.02822449],"genre_scores_gemma":[0.949865,0.0006484225,0.04436443,0.0002168797,0.0000258445,0.0002193126,0.0007608379,0.0001481401,0.003751018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003993594,"threshold_uncertainty_score":0.009171307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0535657404218573,"score_gpt":0.3438919925461141,"score_spread":0.2903262521242568,"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."}}