{"id":"W2972269604","doi":"10.1016/j.jstrokecerebrovasdis.2019.104352","title":"Serum Retinoic Acid Level and The Risk of Poststroke Cognitive Impairment in Ischemic Stroke Patients","year":2019,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Retinoids in leukemia and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Interquartile range; Internal medicine; Confidence interval; Montreal Cognitive Assessment; Confounding; Odds ratio; Univariate analysis; Cognitive impairment; Stroke (engine); Ischemic stroke; Gastroenterology; Multivariate analysis; Disease; Ischemia","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":[0.0003681601,0.0001924611,0.0003783667,0.00007771963,0.00005058381,0.00002834472,0.0001742483,0.0001060071,0.00002595397],"category_scores_gemma":[0.0001662737,0.0001278635,0.0002948297,0.00006250611,0.000232091,0.00002014943,0.00013161,0.0002054593,0.000001356999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001505056,"about_ca_system_score_gemma":0.0001174514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001736246,"about_ca_topic_score_gemma":0.000004745332,"domain_scores_codex":[0.9986125,0.0001764649,0.0004486483,0.0002301592,0.000324022,0.0002081533],"domain_scores_gemma":[0.9989478,0.00005752423,0.0004530838,0.0001957315,0.0002354842,0.0001103755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009248725,0.0001667706,0.9785295,0.0001486846,0.0004764539,0.000001989923,0.00009525308,0.00001154933,0.01681677,0.000005596148,0.0001407683,0.002681747],"study_design_scores_gemma":[0.0148115,0.00122209,0.7927894,0.0002344959,0.0006514323,0.00004687721,0.001546707,0.00002885823,0.1877095,0.00003688397,0.0006664273,0.0002558306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893917,0.009604587,0.00005653692,0.0000304692,0.00007920183,0.0002734294,0.0002534541,0.000001714201,0.0003088886],"genre_scores_gemma":[0.9947375,0.004785963,0.00007228179,0.00005968978,0.00008403557,0.000005746214,0.00002285495,0.00001624874,0.000215671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1857401,"threshold_uncertainty_score":0.5214123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003184491750985859,"score_gpt":0.1965449387216814,"score_spread":0.1933604469706955,"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."}}