{"id":"W3032458417","doi":"10.3760/cma.j.issn.0254-9026.2020.01.004","title":"The evaluation of cognitive impairment and analysis of risk factors for stroke recurrence in elderly patients with minor ischemic stroke","year":2020,"lang":"en","type":"article","venue":"Zhonghua laonian yixue zazhi","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Modified Rankin Scale; Montreal Cognitive Assessment; Neurology; Thrombolysis; Internal medicine; Depression (economics); Ischemic stroke; Cognitive impairment; Physical therapy; Disease; Psychiatry; Ischemia; Myocardial infarction","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":[0.000542657,0.0003814813,0.0005127867,0.0009891221,0.0004368873,0.0005164327,0.0002619477,0.0003429786,0.0005893587],"category_scores_gemma":[0.001604629,0.0002015515,0.0004824844,0.0006740575,0.0001652623,0.0003213342,0.0002842148,0.0003221203,0.0001248985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739001,"about_ca_system_score_gemma":0.00026714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310283,"about_ca_topic_score_gemma":0.003532133,"domain_scores_codex":[0.9996324,0.00007484622,0.00006898202,0.00006680051,0.00009144351,0.00006554422],"domain_scores_gemma":[0.9993663,0.00004832656,0.0003504373,0.0000290879,0.0001003304,0.0001054652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001124474,0.00006156293,0.997988,0.00001968183,0.00005126473,0.000121179,0.00003672695,0.00001157223,0.00009342641,0.000004986889,0.00006193008,0.001437223],"study_design_scores_gemma":[0.000009493085,0.0001517712,0.9989747,0.000006648435,0.00004399642,0.0004740009,0.00008734959,0.00008491684,0.00003746419,0.00001170631,0.0001146497,0.000003288021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984913,0.0008663602,0.00007236387,0.00003656571,0.000009684183,0.00001664993,0.0001454515,0.000003185663,0.0003584681],"genre_scores_gemma":[0.9992761,0.00023347,0.00009576613,0.00003039953,0.00002702782,0.00001375047,0.0001732733,7.358317e-7,0.0001493473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002310283,"threshold_uncertainty_score":0.00459367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721145949135678,"score_gpt":0.2794548435512559,"score_spread":0.2422433840598991,"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."}}