{"id":"W4224213763","doi":"10.1007/s40520-022-02133-9","title":"Prediction of post-stroke cognitive impairment by Montreal Cognitive Assessment (MoCA) performances in acute stroke: comparison of three normative datasets","year":2022,"lang":"en","type":"article","venue":"Aging Clinical and Experimental Research","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università degli Studi di Milano","keywords":"Montreal Cognitive Assessment; Normative; Stroke (engine); Normality; Medicine; Neuropsychology; Cognitive impairment; Cognition; Population; Acute stroke; Physical therapy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003064023,0.000198555,0.0006426792,0.0003988976,0.0003153392,0.00002836703,0.0001841587,0.00007174264,0.0004634988],"category_scores_gemma":[0.0001611628,0.0001758571,0.0001375893,0.0003638309,0.0009763085,0.0002527049,0.0008771512,0.001218487,0.000005860817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479306,"about_ca_system_score_gemma":0.0002948342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008960335,"about_ca_topic_score_gemma":0.00004650499,"domain_scores_codex":[0.9951928,0.0008120054,0.0009840276,0.0005255481,0.001909523,0.0005761064],"domain_scores_gemma":[0.9978255,0.001145519,0.0002025925,0.0001694162,0.000389967,0.0002670112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005565067,0.006217236,0.9487464,0.0001077972,0.000542119,0.00004885277,0.001978823,0.000001133164,0.01957298,0.0000103582,0.0008681749,0.01634106],"study_design_scores_gemma":[0.01152976,0.02103413,0.7986946,0.0002962121,0.0001368558,0.00001787004,0.05807937,0.0043667,0.1055957,0.00002085897,0.00007281968,0.0001552086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896858,0.001051612,0.00003903393,0.000279448,0.00007466679,0.001486138,0.005502001,0.00001345113,0.001867821],"genre_scores_gemma":[0.9972004,0.0002643513,0.00006942904,0.0000863992,0.00003434087,0.0003729781,0.001717251,0.00001683325,0.0002379695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1500518,"threshold_uncertainty_score":0.7171243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09220108640649329,"score_gpt":0.4820488849034576,"score_spread":0.3898477984969643,"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."}}