{"id":"W4411090582","doi":"10.7554/elife.104901.2.sa3","title":"eLife Assessment: Harnessing AlphaFold to reveal hERG channel conformational state secrets","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"hERG; Channel (broadcasting); State (computer science); Computer science; Chemistry; Potassium channel; Algorithm; Biophysics; Biology; Computer network","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0009465065,0.0006382211,0.000702843,0.0006269953,0.000420638,0.001117096,0.001046762,0.001029178,0.004907976],"category_scores_gemma":[0.002097263,0.0003144089,0.000631821,0.0003495289,0.0003527095,0.001078033,0.001155082,0.001233521,0.001255548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006257911,"about_ca_system_score_gemma":0.0007820801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133479,"about_ca_topic_score_gemma":0.001849107,"domain_scores_codex":[0.9997483,0.00003545447,0.00001033119,0.00005835056,0.0001045234,0.00004306679],"domain_scores_gemma":[0.9995448,0.0001790166,0.00005914035,0.00007323879,0.00008473104,0.00005906392],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001787744,0.0004903456,0.02764122,0.001048823,0.0003790185,0.001363089,0.0004370785,0.3788195,0.2417077,0.02796451,0.05080261,0.2675583],"study_design_scores_gemma":[0.0000777571,0.000199966,0.002499421,0.00003994615,0.00005364598,0.0002156923,0.00008514802,0.9074756,0.06145572,0.01380147,0.01403986,0.00005579214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5170076,0.003816481,0.3963772,0.003832065,0.0006630906,0.0002119148,0.007806126,0.04415667,0.02612878],"genre_scores_gemma":[0.8540053,0.001799514,0.1299233,0.001112182,0.0001263928,0.0002362314,0.006284629,0.001938603,0.004573816],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9990535,"threshold_uncertainty_score":0.01641876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000518126421784,"score_gpt":0.346782054024621,"score_spread":0.3267768727604031,"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."}}