{"id":"W2996036235","doi":"10.7554/elife.48890","title":"Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block","year":2019,"lang":"en","type":"article","venue":"eLife","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":271,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Horizon 2020; BHF Centre of Research Excellence, Oxford; Partnership for Advanced Computing in Europe AISBL; National Centre for the Replacement, Refinement and Reduction of Animals in Research; European Commission; Wellcome; European Federation of Pharmaceutical Industries and Associations; Amazon Web Services; British Heart Foundation; Wellcome Trust","keywords":"Computer science; Cardiac electrophysiology; Drug development; hERG; Computational model; Neuroscience; Medicine; Electrophysiology; Drug; Artificial intelligence; Pharmacology; Internal medicine; Biology; Potassium channel","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001163594,0.0000580815,0.0001687537,0.00006074556,0.00003414532,0.000003072392,0.00001177672,0.00002523893,0.000003355167],"category_scores_gemma":[0.00001606581,0.00005343984,0.00001694375,0.00006925387,0.00001999187,0.00004400858,0.00001839428,0.0000629107,9.314544e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002027424,"about_ca_system_score_gemma":0.0001387207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000012322,"about_ca_topic_score_gemma":0.000003333804,"domain_scores_codex":[0.9994822,0.00001821319,0.0001784679,0.0001344952,0.00009056696,0.00009606947],"domain_scores_gemma":[0.999752,0.00001249824,0.00005768043,0.00008148198,0.00002425935,0.00007203146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001693323,0.001356783,0.5903489,0.003686458,0.0004751328,0.0001551645,0.009700145,0.03333491,0.3417682,0.01191552,0.003582396,0.001983053],"study_design_scores_gemma":[0.01294872,0.0003180827,0.8042063,0.0008832649,0.0001195881,0.0001216858,0.0001847523,0.1007479,0.07787658,0.0005364679,0.001481756,0.0005748167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985292,0.000587294,0.0001463535,0.0004375436,0.00001607471,0.000243986,0.000003216508,0.000009011779,0.00002730087],"genre_scores_gemma":[0.9986556,0.00006503919,0.0006454732,0.0003464948,0.00002982989,0.000007297681,0.0000423226,0.000005886853,0.0002021005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2638917,"threshold_uncertainty_score":0.2179213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251121133185087,"score_gpt":0.2634398673557004,"score_spread":0.2509286560238495,"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."}}