{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001768974,0.0001128499,0.000135357,0.00003462589,0.0002882694,0.00006458979,0.0004947074,0.00002074296,0.000008579669],"category_scores_gemma":[0.0003401228,0.00005899364,0.0001042816,0.0004354868,0.0004105814,0.0002989726,0.00008971146,0.0003196324,0.000004465762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002041958,"about_ca_system_score_gemma":0.00003675577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005380565,"about_ca_topic_score_gemma":2.534167e-7,"domain_scores_codex":[0.9987431,0.0001033785,0.0002915791,0.0001774753,0.000441501,0.0002429839],"domain_scores_gemma":[0.9992112,0.000154679,0.0002925952,0.0002018588,0.00007596782,0.00006373416],"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":[0.00003435863,0.00005720255,0.00004922767,0.000005771635,0.000001385579,0.000003462372,0.0001510717,0.00007716544,0.9980003,0.0001245276,0.00003265915,0.001462917],"study_design_scores_gemma":[0.0001493259,0.000177114,0.001439927,0.00004736708,0.000004751208,0.00005885935,0.00001372861,0.002689952,0.9948391,0.0002990213,0.0002138781,0.00006695631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976597,0.000002812612,0.001203402,0.0003116133,0.0004938192,0.0002594853,0.000006451658,0.0000123556,0.00005033534],"genre_scores_gemma":[0.9994435,0.00001375138,0.00003127329,0.0001896387,0.0001980122,0.000007383425,3.390143e-8,0.00001289275,0.0001034645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003161132,"threshold_uncertainty_score":0.2405691,"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."}}