{"id":"W2745072699","doi":"10.1096/fj.201700255r","title":"Hypoxia reduces mature hERG channels through calpain up‐regulation","year":2017,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"hERG; Hypoxia (environmental); Potassium channel; Calpain; Sudden death; Pharmacology; Sudden cardiac death; Chemistry; Cell biology; Long QT syndrome; Biology; Medicine; Internal medicine; Biochemistry; QT interval","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":[0.00005787469,0.0001836637,0.0001703969,0.00007671511,0.00007907467,0.0001487912,0.0001169266,0.0001662493,0.001572043],"category_scores_gemma":[0.00009683872,0.00006562083,0.0002026167,0.0000563173,0.0001102741,0.0001806841,0.0001310892,0.0002762485,0.0001589183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001484733,"about_ca_system_score_gemma":0.00009886646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004538108,"about_ca_topic_score_gemma":0.0003885945,"domain_scores_codex":[0.9999527,0.000006768763,0.000005895054,0.00000919589,0.000009017037,0.00001651393],"domain_scores_gemma":[0.9999609,0.000007399759,0.00001111275,0.000004405688,0.000005705665,0.00001051872],"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":[0.0001902942,0.00002804164,0.00009878245,0.00002383713,0.000003912343,0.00003243497,0.000004697795,0.00001516449,0.9982716,0.00002509334,0.00007323233,0.001232846],"study_design_scores_gemma":[0.00004723983,0.000647747,0.01043281,0.000005518307,0.00001616934,0.0002894635,0.00001933626,0.0006812455,0.9862074,0.00005441094,0.001595771,0.000002802624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939182,0.002804948,0.001456316,0.0002584812,0.00006035723,0.00002520632,0.0002776406,0.00007462754,0.001124292],"genre_scores_gemma":[0.9954139,0.00123022,0.0009658159,0.0001894952,0.00002088419,0.0000329156,0.000366253,0.00001217456,0.001768289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001572043,"threshold_uncertainty_score":0.005258977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173565280099048,"score_gpt":0.2870820292357333,"score_spread":0.2653463764347428,"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."}}