{"id":"W2088624984","doi":"10.1016/j.bpj.2012.01.032","title":"In Silico Optimization of Atrial Fibrillation-Selective Sodium Channel Blocker Pharmacodynamics","year":2012,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; Montreal Heart Institute","funders":"National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fondation Leducq","keywords":"Proarrhythmia; Pharmacodynamics; Atrial fibrillation; Cardiology; Anti-Arrhythmia Agents; Sodium channel; Internal medicine; Pharmacology; Atrium (architecture); Antiarrhythmic agent; Medicine; Sodium channel blocker; Chemistry; Pharmacokinetics; Heart disease; Sodium","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001301005,0.0001114872,0.0003102452,0.0001165614,0.00005620839,0.000005331902,0.00003325062,0.00009497711,0.00004645608],"category_scores_gemma":[0.00005705641,0.00009409444,0.0002751599,0.0002690841,0.00006477733,0.0001810497,0.00001854803,0.0003313413,0.000012841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008334096,"about_ca_system_score_gemma":0.00008066893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004635423,"about_ca_topic_score_gemma":1.67091e-7,"domain_scores_codex":[0.9991017,0.00007738789,0.000264298,0.0001018837,0.0001714411,0.0002832906],"domain_scores_gemma":[0.9994704,0.00006715315,0.0001384081,0.00007394059,0.0001155519,0.0001345328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005158463,0.0004540634,0.008153693,0.00006166109,0.0005868198,0.0001060279,0.001239803,0.09484948,0.8851382,0.0006847672,0.0009225835,0.002644395],"study_design_scores_gemma":[0.02184283,0.002993787,0.09769113,0.0002872596,0.001343496,0.004960246,0.0002872725,0.465021,0.4022053,0.0009511987,0.001185467,0.001230935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975054,0.0001829732,0.0009691417,0.0004126437,0.0005601565,0.0001483814,0.000004355058,0.0000104868,0.0002064441],"genre_scores_gemma":[0.9929693,0.0001817095,0.0004365973,0.00009518678,0.006249163,0.000001074417,0.000009488868,0.0000136688,0.00004376785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4829329,"threshold_uncertainty_score":0.383706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028095749177307,"score_gpt":0.2772863890052705,"score_spread":0.2670054315134975,"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."}}