{"id":"W1208303706","doi":"10.1038/ncomms9116","title":"Atomic basis for therapeutic activation of neuronal potassium channels","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Novo Nordisk Fonden; National Institutes of Health; Michael Smith Health Research BC; Universities Space Research Association","keywords":"Potassium; Potassium channel; Basis (linear algebra); Neuroscience; Computational biology; Biophysics; Chemistry; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001075076,0.0001551277,0.0002444173,0.0001287886,0.0003788545,0.0004193138,0.0004164572,0.0005253472,0.002810464],"category_scores_gemma":[0.0001644291,0.0001656119,0.0001914804,0.00009858931,0.0006162435,0.0004309275,0.0004687037,0.0006734771,0.000531539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005987755,"about_ca_system_score_gemma":0.0003140275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003987272,"about_ca_topic_score_gemma":0.0003783882,"domain_scores_codex":[0.9999211,0.000009257899,0.000003685665,0.00001314859,0.00003374693,0.00001910269],"domain_scores_gemma":[0.9999694,0.000006111602,0.000005796565,0.00000735927,0.000005631442,0.000005736273],"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":[0.0002056008,0.00006744146,0.000942729,0.0002103571,0.00003354405,0.0004835982,0.00009649181,0.00880025,0.8289449,0.141598,0.001046715,0.01757039],"study_design_scores_gemma":[0.0002569441,0.001191344,0.007597172,0.00006770153,0.000136634,0.002360877,0.0003296563,0.1074512,0.6155472,0.1581849,0.1067979,0.00007845459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7998381,0.008930636,0.1148651,0.004319298,0.0005648691,0.0001292696,0.0002692642,0.0007543344,0.07032914],"genre_scores_gemma":[0.9860307,0.001594889,0.009881824,0.0002993456,0.00004320023,0.00003412118,0.00007333862,0.00004802423,0.001994489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002810464,"threshold_uncertainty_score":0.009401977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445296625652362,"score_gpt":0.311861619977468,"score_spread":0.2673319574122318,"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."}}