{"id":"W2053139788","doi":"10.1177/0891988710373598","title":"The Relationship Between Inflammatory Markers and Post Stroke Cognitive Impairment","year":2010,"lang":"en","type":"article","venue":"Journal of Geriatric Psychiatry and Neurology","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Rehabilitation Institute; Sunnybrook Health Science Centre; Heart and Stroke Foundation; Health Sciences Centre; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Stroke (engine); Rehabilitation; Internal medicine; Depression (economics); Aphasia; Physical therapy; Subarachnoid hemorrhage; Psychiatry","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":[0.0008625158,0.0003238907,0.0005112226,0.000528319,0.0003024366,0.0005545298,0.0002547124,0.0005010219,0.001406995],"category_scores_gemma":[0.003022209,0.0001770254,0.0002742656,0.0007590808,0.0001897299,0.0003017862,0.0002385019,0.0006889737,0.000267326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808273,"about_ca_system_score_gemma":0.0003532621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467439,"about_ca_topic_score_gemma":0.001947243,"domain_scores_codex":[0.9994423,0.0001453965,0.00007811161,0.00007588127,0.0001346445,0.0001236183],"domain_scores_gemma":[0.9976479,0.0004557476,0.001160205,0.00005496183,0.0002999548,0.0003812532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003715054,0.0001730157,0.9976418,0.00002198981,0.00008620161,0.00007783234,0.00002844987,0.00002140173,0.0001054884,0.000006579632,0.00007759658,0.001388164],"study_design_scores_gemma":[0.00001123365,0.000344113,0.9992188,0.000005803091,0.00002735299,0.0002129797,0.00002680376,0.00005561208,0.00003014251,0.000009566986,0.0000556368,0.000001911672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983721,0.0008212552,0.00004171437,0.00006996878,0.000009324644,0.00001195968,0.0002496362,0.00000297543,0.0004211323],"genre_scores_gemma":[0.9992182,0.0002358346,0.0000538974,0.00005021893,0.00003376833,0.00001220657,0.0002294381,8.111376e-7,0.0001656036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001467439,"threshold_uncertainty_score":0.00470686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462531088120286,"score_gpt":0.2542188663947865,"score_spread":0.2395935555135837,"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."}}