{"id":"W4406803112","doi":"10.2196/64374","title":"Development and Validation of a Predictive Model Based on Serum Silent Information Regulator 6 Levels in Chinese Older Adult Patients: Cross-Sectional Descriptive Study","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Sirtuins and Resveratrol in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Shanghai Municipal Health Commission","keywords":"Medicine; Nomogram; Coronary artery disease; Receiver operating characteristic; Internal medicine; Logistic regression; Area under the curve; Cohort; Biomarker; Cardiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002552792,0.0001298445,0.0002035736,0.0003935609,0.00007005987,0.00001916045,0.00003665003,0.00006054404,0.00001008005],"category_scores_gemma":[0.0001248844,0.00009720133,0.00002557999,0.0002645421,0.00003482036,0.0002259859,0.00003117311,0.000153665,6.605302e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002552404,"about_ca_system_score_gemma":0.0001730588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001603714,"about_ca_topic_score_gemma":0.000004646874,"domain_scores_codex":[0.9988427,0.00002934742,0.000446295,0.0001728159,0.000386427,0.0001224466],"domain_scores_gemma":[0.9993325,0.00003629061,0.0001129064,0.0001222245,0.0003513728,0.00004464273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003934707,0.000558041,0.9796784,0.0001486457,0.00004132306,0.000001157032,0.008430574,0.008773184,0.0001018112,0.00001871262,0.0000270621,0.001827617],"study_design_scores_gemma":[0.006322755,0.0002248161,0.8593188,0.0004330667,0.00001428315,3.948767e-7,0.001160226,0.1316501,0.0007897805,0.00001723334,0.000005450885,0.0000631239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949741,0.000007328799,0.00319992,0.00008133586,0.0001228446,0.001206249,0.00001346987,0.00002170683,0.0003730637],"genre_scores_gemma":[0.9986686,7.13657e-7,0.000680475,0.0003542354,0.00002198844,0.0001419624,0.00004963781,0.000006197325,0.00007616569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1228769,"threshold_uncertainty_score":0.3963755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351233077686398,"score_gpt":0.3024342338729114,"score_spread":0.2889219030960474,"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."}}