{"id":"W2914051241","doi":"10.1161/str.50.suppl_1.wp563","title":"Abstract WP563: Risk Factors Related to the Development of Post Stroke Cognitive Impairment in Shanghai Stroke Population","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Logistic regression; Odds ratio; Internal medicine; Risk factor; Montreal Cognitive Assessment; Dementia; Population; Cognition; Observational study; Physical therapy; Psychiatry; 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":[0.0004227478,0.0003861598,0.0002695372,0.001009873,0.0004518989,0.0004918913,0.0002706744,0.0002296205,0.003020764],"category_scores_gemma":[0.0009071351,0.0002068303,0.0004160671,0.001659444,0.0001847497,0.0002749861,0.0003713805,0.0003838494,0.0003536004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141934,"about_ca_system_score_gemma":0.0007875436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03125703,"about_ca_topic_score_gemma":0.01489802,"domain_scores_codex":[0.9997551,0.00004117956,0.00003873579,0.00004913708,0.00006072014,0.00005518465],"domain_scores_gemma":[0.9993407,0.00005246199,0.0002850872,0.00004391326,0.0001224088,0.0001553963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004512656,0.00001502283,0.9986583,0.00001571687,0.00002428406,0.00007657503,0.00004127916,0.00002342459,0.00006144217,0.000006971075,0.0002907754,0.0007411106],"study_design_scores_gemma":[0.000001902431,0.00002020275,0.9997079,0.000002442658,0.00001474217,0.00005757242,0.00004840512,0.00006013467,0.00001489477,0.000007554308,0.0000630462,0.000001233859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973434,0.0002346967,0.0000714726,0.00009761128,0.00001194107,0.00001340715,0.001774429,0.000007758857,0.0004453844],"genre_scores_gemma":[0.9979633,0.0001076078,0.00005163056,0.00001922791,0.0000182752,0.00001411372,0.001510904,0.000002081202,0.0003128822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03125703,"threshold_uncertainty_score":0.06215018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085571577621526,"score_gpt":0.2669245383382062,"score_spread":0.246068822561991,"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."}}