{"id":"W4210748949","doi":"10.12669/pjms.38.3.5204","title":"Predictive value of serum adiponectin and hemoglobin levels for vascular cognitive impairment in ischemic stroke patients","year":2022,"lang":"en","type":"article","venue":"Pakistan Journal of Medical Sciences","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lishui Science and Technology Bureau","keywords":"Medicine; Adiponectin; Internal medicine; Cognitive impairment; Predictive value; Ischemic stroke; Cardiology; Hemoglobin; Stroke (engine); Ischemia; Obesity; Disease","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":[0.0006322872,0.0003157883,0.0003074721,0.001076255,0.0002409161,0.0004860336,0.0002308938,0.0003987985,0.001089831],"category_scores_gemma":[0.002419422,0.0001397346,0.0003244749,0.0008120253,0.0001944327,0.0002502337,0.0002584626,0.0004676874,0.0001705207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868633,"about_ca_system_score_gemma":0.0002658204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001641316,"about_ca_topic_score_gemma":0.001996499,"domain_scores_codex":[0.9997262,0.00006572327,0.00004653238,0.00004386388,0.00007312157,0.00004455787],"domain_scores_gemma":[0.9988972,0.0002713839,0.0004652221,0.00004166632,0.0001490882,0.000175387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001668807,0.00002854025,0.9978739,0.000008997546,0.00003999102,0.00008030009,0.00001840456,0.00007176607,0.00007975174,0.000009995438,0.00005753096,0.001563929],"study_design_scores_gemma":[0.000007754011,0.0001171714,0.9983681,0.000009269032,0.00005579199,0.0003004718,0.00007220219,0.0008188607,0.00007975016,0.00004939282,0.0001172728,0.000004023238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977233,0.001096569,0.0001328997,0.0001019771,0.00001746441,0.000009149418,0.000204675,0.000005707962,0.0007082994],"genre_scores_gemma":[0.9993815,0.000166102,0.0001097511,0.0000214749,0.00001928967,0.000004845214,0.0001851144,7.1898e-7,0.000111207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001641316,"threshold_uncertainty_score":0.003645897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832237685827452,"score_gpt":0.3119160781740467,"score_spread":0.2935937013157721,"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."}}