{"id":"W4410480018","doi":"10.1038/s44161-025-00653-x","title":"Mineralocorticoid receptor phase separation modulates cardiac preservation","year":2025,"lang":"en","type":"article","venue":"Nature Cardiovascular Research","topic":"Hormonal Regulation and Hypertension","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; American Heart Association; U.S. Department of Health and Human Services","keywords":"Mineralocorticoid receptor; Separation (statistics); Mineralocorticoid; Internal medicine; Phase (matter); Medicine; Cardiology; Environmental science; Endocrinology; Receptor; Chemistry; Computer science; Machine learning","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":[0.0001711439,0.0001707637,0.0002126715,0.0001342388,0.0002021269,0.0006455259,0.0002501121,0.0002298968,0.003538254],"category_scores_gemma":[0.0002874317,0.0001553895,0.0002412409,0.00008465494,0.0003514972,0.0004639176,0.0002755086,0.0005602892,0.000501734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002434403,"about_ca_system_score_gemma":0.00034531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003652427,"about_ca_topic_score_gemma":0.0006323197,"domain_scores_codex":[0.9999059,0.00001546558,0.000004625241,0.00002097052,0.000010498,0.00004249709],"domain_scores_gemma":[0.9998206,0.00003726811,0.00003978392,0.00002531283,0.00001869781,0.00005829916],"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":[0.003252576,0.0000569287,0.0002336584,0.00003005719,0.000009159244,0.00002315412,0.00002825548,0.0000226339,0.992363,0.0004048365,0.0001114066,0.00346435],"study_design_scores_gemma":[0.0004520626,0.001215883,0.01628514,0.00001898985,0.00006345972,0.0001207775,0.0001784024,0.001002953,0.9759438,0.001114648,0.003585296,0.00001858304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921009,0.00221829,0.002485622,0.0003970788,0.0002246857,0.00002451188,0.000186237,0.00006696954,0.00229575],"genre_scores_gemma":[0.9955538,0.0007895782,0.000879169,0.0001374677,0.00007443897,0.00001451721,0.0001155496,0.00004240001,0.002393006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003538254,"threshold_uncertainty_score":0.01183665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05009384911722982,"score_gpt":0.4337221955735356,"score_spread":0.3836283464563058,"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."}}