{"id":"W2006510532","doi":"10.1016/j.bpj.2013.11.811","title":"hERG Channel Voltage Sensor Movement Precedes Pore Opening","year":2014,"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":"University of British Columbia","funders":"","keywords":"Gating; hERG; Chemistry; Time constant; Conductance; Potassium channel; Biophysics; Ion channel; Electrophysiology; Voltage clamp; Ionic bonding; Membrane potential; Analytical Chemistry (journal); Chemical physics; Ion; Neuroscience; Physics; Biochemistry; Electrical engineering; Chromatography","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":[0.0002686185,0.0002414339,0.0006955336,0.0002507398,0.0005125876,0.0008613906,0.0004496044,0.0008754815,0.008723795],"category_scores_gemma":[0.001659084,0.0003583441,0.0004271751,0.0001724903,0.0006512757,0.001888922,0.0007955586,0.002126529,0.001889004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008089014,"about_ca_system_score_gemma":0.0005842535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241185,"about_ca_topic_score_gemma":0.001839019,"domain_scores_codex":[0.9995847,0.00001970616,0.00001549217,0.0001001693,0.0001329487,0.0001469538],"domain_scores_gemma":[0.9993922,0.0002052867,0.00008564704,0.0001075325,0.00006130089,0.0001480473],"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":[0.0006527705,0.0001181029,0.0006994893,0.0001207925,0.00001487574,0.0006059524,0.0001081659,0.0003676968,0.9859843,0.004515477,0.001191072,0.005621288],"study_design_scores_gemma":[0.0001600362,0.0008246776,0.07657661,0.00006167708,0.0000287211,0.002046002,0.0004500796,0.01109139,0.8959206,0.004417268,0.008363127,0.0000598694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648099,0.0009950008,0.01578527,0.001309451,0.0006128374,0.0001878543,0.001272098,0.001396576,0.01363111],"genre_scores_gemma":[0.9935907,0.0001479383,0.001829884,0.0003302887,0.00003708374,0.00003971545,0.0004221078,0.0000962359,0.003506123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008723795,"threshold_uncertainty_score":0.02918398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03069696574010039,"score_gpt":0.2598035759049849,"score_spread":0.2291066101648845,"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."}}