{"id":"W4411272781","doi":"10.1073/pnas.2422082122","title":"Targeting ryanodine receptors with allopurinol and xanthine derivatives for the treatment of cardiac and musculoskeletal weakness disorders","year":2025,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Viral Infections and Immunology Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"National Institute of Allergy and Infectious Diseases; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; University of California, San Francisco; National Institutes of Health","keywords":"Allopurinol; Ryanodine receptor; Xanthine; Medicine; Weakness; Receptor; Pharmacology; Internal medicine; Chemistry; Biochemistry; Surgery; Enzyme","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":[0.0001393985,0.0002143739,0.0002429327,0.0002177781,0.00012481,0.0001711712,0.0002023408,0.0002831738,0.0009543033],"category_scores_gemma":[0.00006388266,0.00007635457,0.0002549782,0.00009678138,0.0001526724,0.0001710878,0.0001768404,0.0004758672,0.0001872701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046874,"about_ca_system_score_gemma":0.00009311538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001732609,"about_ca_topic_score_gemma":0.0005250343,"domain_scores_codex":[0.9999405,0.00001431302,0.000006170958,0.00001034935,0.00001712338,0.00001142895],"domain_scores_gemma":[0.9999765,0.000003039817,0.000009924645,0.000002283202,0.00000267569,0.000005668548],"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":[0.000494584,0.0001923649,0.0003142471,0.0004289814,0.00006134897,0.0004013509,0.00004237431,0.000440458,0.962595,0.0005485325,0.0006620614,0.03381878],"study_design_scores_gemma":[0.0006197327,0.005787315,0.008644211,0.000147188,0.0002800799,0.003539264,0.00006569536,0.003117982,0.909833,0.0008156159,0.06711321,0.00003677978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8170981,0.1562119,0.01577272,0.001990462,0.0004526453,0.0002536569,0.0003467634,0.0002561801,0.007617593],"genre_scores_gemma":[0.944491,0.04002927,0.01148942,0.0005272354,0.0001329462,0.00008447423,0.0002579794,0.00001989587,0.002967837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009543033,"threshold_uncertainty_score":0.003192425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324131699586059,"score_gpt":0.3389665514320596,"score_spread":0.315725234436199,"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."}}