{"id":"W2791708904","doi":"10.1016/j.bpj.2017.11.1673","title":"External Protons Accelerate Deactivation of hERG Channels by Destabilizing the Relaxed State of the Voltage-Sensor","year":2018,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Gating; Chemistry; Voltage; Voltage clamp; hERG; Depolarization; Threshold voltage; Relaxation (psychology); Electrode; Analytical Chemistry (journal); Materials science; Biophysics; Membrane potential; Electrical engineering; Potassium channel; Transistor","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":[0.0003042212,0.0004229411,0.0004962452,0.0001082683,0.0002050294,0.0005609299,0.0003930741,0.000622251,0.006214566],"category_scores_gemma":[0.0006560926,0.0002260838,0.0003251632,0.00008795022,0.000542363,0.0009129777,0.0005435541,0.0009344242,0.0005096821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003338362,"about_ca_system_score_gemma":0.0002644705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004472769,"about_ca_topic_score_gemma":0.000539312,"domain_scores_codex":[0.9998162,0.00001935251,0.0000103229,0.00003878677,0.00003974449,0.00007561329],"domain_scores_gemma":[0.999768,0.00009113664,0.00003101336,0.00003176575,0.00002642402,0.00005173566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001243178,0.0000430474,0.0001686158,0.0001183898,0.00002269756,0.000197149,0.00006679047,0.000215255,0.9945889,0.0005443058,0.000219457,0.002572437],"study_design_scores_gemma":[0.0001922611,0.0004685651,0.003851078,0.0000158331,0.00002450567,0.0003507668,0.00009517198,0.002693852,0.9894491,0.0005372877,0.002298552,0.00002292238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915985,0.001222375,0.003894193,0.0003701936,0.0001665668,0.00004878544,0.0001816501,0.0002417706,0.002275962],"genre_scores_gemma":[0.9968786,0.0004106964,0.0008373724,0.0001594337,0.00003017778,0.00001585093,0.0001218755,0.00005313127,0.001492808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006214566,"threshold_uncertainty_score":0.02078974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03808377386162722,"score_gpt":0.2716872971207818,"score_spread":0.2336035232591546,"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."}}