{"id":"W4412456194","doi":"10.1016/j.clineuro.2025.109054","title":"Triglyceride-glucose index and its association with collaterals in acute ischemic stroke: A cross-sectional study","year":2025,"lang":"en","type":"article","venue":"Clinical Neurology and Neurosurgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital","funders":"","keywords":"Medicine; Cross-sectional study; Triglyceride; Internal medicine; Ischemic stroke; Body mass index; Diabetes mellitus; Stroke (engine); Cardiology; Cholesterol; Ischemia; Endocrinology; Pathology","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":[0.001176831,0.0003738448,0.0004164633,0.0008116184,0.0003275502,0.0005767895,0.000253677,0.0005169422,0.001300928],"category_scores_gemma":[0.001975894,0.0004021253,0.0005361182,0.0009872899,0.0002559183,0.0005360602,0.0003674997,0.0006370049,0.0002962784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001430705,"about_ca_system_score_gemma":0.000203324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254489,"about_ca_topic_score_gemma":0.001205191,"domain_scores_codex":[0.9995556,0.0001318641,0.00006446904,0.0001206985,0.00007406222,0.00005321687],"domain_scores_gemma":[0.998588,0.0003033377,0.0005375366,0.0001566221,0.0001705656,0.0002437824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085267,0.00004389328,0.9993387,0.000005075776,0.0000696385,0.00002808902,0.00001971188,0.00001510556,0.00006039823,0.000005790789,0.00001878522,0.0002862914],"study_design_scores_gemma":[0.000008956372,0.0002052823,0.9991048,0.00000326589,0.00007322206,0.0002273729,0.00006756522,0.0001973354,0.00002898352,0.00001740461,0.00006262614,0.000003242212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991878,0.0002762118,0.0001000871,0.0000195681,0.000005281006,0.000009617431,0.0001522404,0.00000267802,0.0002466811],"genre_scores_gemma":[0.9995267,0.0000986843,0.00008002063,0.00001603872,0.00001242048,0.000008530936,0.0001933644,0.000001303436,0.00006300557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001300928,"threshold_uncertainty_score":0.006223798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494297915540493,"score_gpt":0.3417673023812349,"score_spread":0.31682432322583,"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."}}