{"id":"W3139176155","doi":"10.1016/j.cccb.2021.100008","title":"Longitudinal changes in MoCA performances in patients with mild cognitive impairment and small vessel disease. Results from the VMCI-Tuscany Study","year":2021,"lang":"en","type":"article","venue":"Cerebral Circulation - Cognition and Behavior","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Regione Toscana","keywords":"Montreal Cognitive Assessment; Internal medicine; Medicine; Neurocognitive; Cognitive decline; Cognitive impairment; Neuropsychology; Logistic regression; Statistical significance; Cardiology; Cognition; Dementia; Disease; 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":[0.001122222,0.0005782011,0.0006410485,0.001154325,0.0005521046,0.0008026914,0.0004954004,0.0007798249,0.0008231724],"category_scores_gemma":[0.003042816,0.0003154865,0.0006705464,0.000922127,0.0003151144,0.0005902079,0.000497381,0.0009832807,0.0002885525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004367341,"about_ca_system_score_gemma":0.0004377897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01730532,"about_ca_topic_score_gemma":0.01315657,"domain_scores_codex":[0.9995772,0.00009311717,0.00003887858,0.0001117621,0.00009021112,0.0000888715],"domain_scores_gemma":[0.998273,0.0002346775,0.0006181416,0.0001497793,0.0002471668,0.0004773042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004564004,0.00004769139,0.9983366,0.000004237173,0.00007679041,0.00007817461,0.00007392281,0.00003874067,0.0001043238,0.000005179313,0.00005798656,0.000719998],"study_design_scores_gemma":[0.000008509161,0.00009431192,0.9996195,0.000001228764,0.00001805516,0.00008691612,0.00003203848,0.00007620522,0.00001632855,0.000006585405,0.00003776914,0.000002468771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991688,0.0002331355,0.00003242734,0.00002072618,0.000004190076,0.000006493048,0.0003196105,0.000004243205,0.0002104459],"genre_scores_gemma":[0.9990695,0.00005382147,0.00003392384,0.00001140196,0.000008666859,0.000006394003,0.0006954065,0.000001963538,0.0001188493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01730532,"threshold_uncertainty_score":0.03440917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726390065922659,"score_gpt":0.2934779509322097,"score_spread":0.2562140502729832,"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."}}