{"id":"W4315707195","doi":"10.1097/01.hjh.0000917052.98134.0c","title":"PS-C25-7: PROGNOSTIC VALUE OF COMPUTED TOMOGRAPHY PSOAS MUSCLE SIZE IN PREDICTING MAJOR ADVERSE CARDIOVASCULAR EVENTS IN THE ELDERLY: A META-ANALYSIS.","year":2023,"lang":"en","type":"article","venue":"Journal of Hypertension","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Sarcopenia; Hazard ratio; Myocardial infarction; Internal medicine; Cardiology; Stroke (engine); Mace; Confidence interval; Wasting; Meta-analysis; Clinical endpoint; Body mass index; Surgery; Clinical trial","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008458271,0.002032246,0.01159737,0.003805835,0.0007050406,0.002839625,0.001913035,0.002377689,0.003021876],"category_scores_gemma":[0.015,0.0009334179,0.03931441,0.004520556,0.0005738209,0.001187081,0.001132564,0.002036547,0.0003772858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129192,"about_ca_system_score_gemma":0.001848975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006679677,"about_ca_topic_score_gemma":0.01035989,"domain_scores_codex":[0.996102,0.001606072,0.0009490395,0.000648781,0.0004878368,0.0002063408],"domain_scores_gemma":[0.9897243,0.00700377,0.001673417,0.0004942371,0.0007670131,0.0003373665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.01093953,0.00007310404,0.02423215,0.07461011,0.8805864,0.0001695634,0.00005839991,0.0006261126,0.0002984832,0.00007833015,0.0006552633,0.007672583],"study_design_scores_gemma":[0.00114385,0.000305129,0.01355748,0.002135674,0.9814867,0.00006908084,0.00002669605,0.0004096005,0.00006890845,0.0001150178,0.0006587721,0.00002310714],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04696093,0.9484023,0.001117765,0.0005109475,0.0003910859,0.0003321007,0.001622008,0.00007217664,0.0005907232],"genre_scores_gemma":[0.7550902,0.2365175,0.002489355,0.001182073,0.0006874442,0.0008340344,0.002163631,0.00005292797,0.0009827501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01159737,"threshold_uncertainty_score":0.04473215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08681624361519123,"score_gpt":0.309304517794229,"score_spread":0.2224882741790377,"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."}}