{"id":"W2609415147","doi":"10.2174/1568026617666170414143430","title":"Computational Models for Understanding of Structure, Function and Pharmacology of the Cardiac Potassium Channel Kv11.1 (hERG)","year":2017,"lang":"en","type":"review","venue":"Current Topics in Medicinal Chemistry","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"hERG; Potassium channel; Potassium channel blocker; Pharmacology; Potassium channel opener; Channel (broadcasting); Function (biology); Chemistry; Computational biology; Medicine; Computer science; Cell biology; Biology; Internal medicine; Computer network","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":[0.0004765547,0.001122341,0.001489683,0.0004636551,0.0006836075,0.001448515,0.002069375,0.002131219,0.00623423],"category_scores_gemma":[0.002155947,0.0005908835,0.001373839,0.0009031658,0.0006189022,0.001411368,0.001104536,0.001809474,0.001017047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008545072,"about_ca_system_score_gemma":0.001751489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008574741,"about_ca_topic_score_gemma":0.007534216,"domain_scores_codex":[0.9997781,0.00009353608,0.00001335989,0.0000303859,0.00005760882,0.00002711355],"domain_scores_gemma":[0.9992478,0.0005642361,0.00003623448,0.00003718145,0.00007132847,0.00004324686],"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":[0.00004155645,0.00003269742,0.0005755957,0.0002998086,0.00006847875,0.00009560341,0.00004796406,0.9599884,0.0003759257,0.02845424,0.003053305,0.006966415],"study_design_scores_gemma":[0.00003156556,0.00002112103,0.0001471294,0.00006640873,0.00002587514,0.00003437078,0.00003405303,0.9570541,0.0001554239,0.03540341,0.007015545,0.00001105249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1166438,0.0329546,0.7393028,0.01025818,0.001163544,0.0003633753,0.01171212,0.002135315,0.08546626],"genre_scores_gemma":[0.6966764,0.02733799,0.2406215,0.001705993,0.0007812565,0.002393348,0.01072827,0.001087548,0.01866767],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008574741,"threshold_uncertainty_score":0.02085555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133421972491916,"score_gpt":0.384967642041575,"score_spread":0.2716254447923834,"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."}}