{"id":"W3189222101","doi":"10.1371/journal.pcbi.1009233","title":"A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes","year":2021,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Norges Forskningsråd","keywords":"Mutant; Ion channel; Mutation; Drug; Transmembrane protein; Drug action; Computational biology; Drug discovery; Computer science; Biology; Bioinformatics; Pharmacology; Biophysics; Genetics; Gene","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":[0.0003856637,0.00009790638,0.0003449376,0.0001167799,0.0001254028,0.000005452781,0.00004501328,0.000083752,0.00002305356],"category_scores_gemma":[0.0004243435,0.00008263467,0.0002139069,0.000251885,0.00007301114,0.00004952001,0.00004329121,0.00009718934,0.000002340292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003895458,"about_ca_system_score_gemma":0.0001692591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007595488,"about_ca_topic_score_gemma":5.838669e-7,"domain_scores_codex":[0.9987321,0.0003056317,0.0003940495,0.0002630064,0.0001611605,0.0001440728],"domain_scores_gemma":[0.9976237,0.001133847,0.0002175109,0.0001125717,0.000869421,0.00004291023],"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":[0.001295103,0.0008500902,0.0008484767,0.0004123518,0.001305122,0.00004573078,0.001057377,0.6721554,0.2445429,0.06763753,0.0002188138,0.009631032],"study_design_scores_gemma":[0.003362844,0.001812055,0.03821418,0.0001775405,0.0006452539,0.0006721851,0.000830158,0.750433,0.1437981,0.05952839,0.0002378434,0.000288414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.697874,0.0001645702,0.3007763,0.0006495889,0.000108973,0.0003297266,0.00003686609,0.00002811177,0.0000318394],"genre_scores_gemma":[0.8195373,0.000002840051,0.1791763,0.0002666753,0.0001276353,0.0000356108,0.0008278981,0.000009040408,0.00001672202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1216633,"threshold_uncertainty_score":0.3369744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06623052836278426,"score_gpt":0.3859481869896069,"score_spread":0.3197176586268226,"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."}}