{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002863795,0.000100866,0.0003619643,0.000198675,0.0001318033,0.00001056687,0.0001886907,0.00003861678,0.0002915972],"category_scores_gemma":[0.0009424337,0.00007421415,0.0001177478,0.0002907791,0.0003671676,0.0001292274,0.00007119738,0.000200041,1.730477e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007856136,"about_ca_system_score_gemma":0.0008019839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002894814,"about_ca_topic_score_gemma":0.000005450287,"domain_scores_codex":[0.997081,0.0001357677,0.0006188093,0.000166665,0.001777454,0.0002202976],"domain_scores_gemma":[0.9987532,0.0003064816,0.0003805546,0.00005352615,0.0001921407,0.0003141357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00160476,0.001957429,0.9270239,0.0004070789,0.0004269374,0.00009005312,0.0052476,0.0002038135,0.0005064824,0.0008961819,0.0009443096,0.06069148],"study_design_scores_gemma":[0.01294326,0.004997688,0.9619548,0.0007123468,0.0004306425,0.0001347685,0.01048032,0.0018781,0.001500098,0.000623793,0.004169599,0.0001746054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960124,0.001436244,0.0006740963,0.0007755856,0.0002131043,0.0003941029,0.0001901833,0.000004017188,0.0003001955],"genre_scores_gemma":[0.9992456,0.0001101331,0.0003181879,0.0001623852,0.0001058913,0.00001759619,0.00000412374,0.000005307147,0.00003082044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06051688,"threshold_uncertainty_score":0.3192785,"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."}}