{"id":"W4409662562","doi":"10.1016/j.jstrokecerebrovasdis.2025.108327","title":"Determinants of post-stroke cognitive impairment in patients with periodontal disease","year":2025,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities","keywords":"Periodontal disease; Stroke (engine); Cognitive impairment; Medicine; Cognition; Disease; Physical medicine and rehabilitation; Internal medicine; Psychiatry","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":[0.0006225149,0.000224307,0.000269248,0.000565719,0.0004114584,0.0006055635,0.0002512155,0.0003416732,0.002389735],"category_scores_gemma":[0.002027768,0.0001350116,0.0003083501,0.0009530422,0.0001497737,0.0002557488,0.0003164785,0.000594334,0.0002261086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292585,"about_ca_system_score_gemma":0.0004495239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00499953,"about_ca_topic_score_gemma":0.006784689,"domain_scores_codex":[0.9997248,0.0000617769,0.0000355342,0.00006282927,0.00006455077,0.00005042574],"domain_scores_gemma":[0.9991947,0.0001309648,0.0004199202,0.00003770422,0.00009687656,0.0001198901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001903872,0.00007123811,0.9964365,0.00002384656,0.00005203423,0.0000280618,0.00004000385,0.00002372122,0.00005855943,0.00002367123,0.0001781492,0.002873834],"study_design_scores_gemma":[0.00000757037,0.00008938005,0.9994411,0.00001137591,0.00002994222,0.00007205544,0.00005992378,0.0001117682,0.00001438269,0.00004270186,0.0001178375,0.000001889627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965608,0.001044473,0.0001045635,0.0001819264,0.00001059545,0.00002330012,0.0008876557,0.00000522671,0.001181555],"genre_scores_gemma":[0.9991919,0.0001977155,0.00007679708,0.00002851093,0.00001466341,0.00001293656,0.0003203845,7.12726e-7,0.0001564531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00499953,"threshold_uncertainty_score":0.009940863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004390135306003984,"score_gpt":0.2478942998128937,"score_spread":0.2435041645068897,"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."}}