{"id":"W2489680387","doi":"10.14740/jocmr2655w","title":"Prevalence of Metabolic Syndrome and Its Clinical and Angiographic Profile in Patients With Naive Acute Coronary Syndrome in North Indian Population","year":2016,"lang":"en","type":"article","venue":"Journal of Clinical Medicine Research","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Acute coronary syndrome; Metabolic syndrome; Internal medicine; Cardiogenic shock; Cardiology; Context (archaeology); Myocardial infarction; Population; Lipid profile; Obesity; Cholesterol","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002192496,0.0001619025,0.0002901558,0.0007801608,0.0005531982,0.0005037783,0.000233547,0.0003392078,0.00113835],"category_scores_gemma":[0.0007470659,0.0002365642,0.0002468537,0.0007151203,0.0003237753,0.0003238821,0.0002900682,0.0004051719,0.0001571273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002152341,"about_ca_system_score_gemma":0.0002946246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006149537,"about_ca_topic_score_gemma":0.008767519,"domain_scores_codex":[0.9997091,0.00006238323,0.00004049538,0.00006099895,0.00006351035,0.00006349556],"domain_scores_gemma":[0.999517,0.0000489621,0.0002218149,0.00003019594,0.00005070824,0.0001313021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003087848,0.00004554752,0.9990184,0.000007302072,0.00001128233,0.0001657718,0.0001303956,0.000007851647,0.0001570012,0.000008123847,0.00003844219,0.0003789919],"study_design_scores_gemma":[0.000001865928,0.00006054126,0.998953,0.000003744625,0.000008053975,0.0005245076,0.0003460186,0.00002738812,0.00001353355,0.00001001668,0.00004910951,0.000002262155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994672,0.0001014922,0.00001880732,0.00003706208,0.000003414441,0.000006380817,0.00008778809,0.000001779185,0.0002760688],"genre_scores_gemma":[0.9996589,0.00009079265,0.00003422036,0.00003032294,0.00001032787,0.000007030162,0.0001065627,6.057647e-7,0.00006122814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006149537,"threshold_uncertainty_score":0.01222748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06140594695734068,"score_gpt":0.4034099704729514,"score_spread":0.3420040235156107,"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."}}