{"id":"W2764065481","doi":"10.17116/jnevro20171178232-36","title":"A comparative clinical study of the efficacy of computer cognitive training in patients with post-stroke cognitive impairments","year":2017,"lang":"en","type":"article","venue":"S S Korsakov Journal of Neurology and Psychiatry","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neuropsychology; Medicine; Cognitive training; Physical therapy; Cognition; Montreal Cognitive Assessment; Computer training; Randomized controlled trial; Physical medicine and rehabilitation; Stroke (engine); Intervention (counseling); Cognitive impairment; Psychiatry; Multimedia; Surgery; Computer science","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":[0.0006850314,0.0001642283,0.0007275887,0.0001853085,0.0001500217,0.00001367021,0.0002074156,0.00008964002,0.00002031364],"category_scores_gemma":[0.0002051199,0.000099517,0.0001384829,0.0000896355,0.0006806575,0.0001200595,0.0001173257,0.0008061219,6.786917e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004012562,"about_ca_system_score_gemma":0.0003080591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001422844,"about_ca_topic_score_gemma":0.00005662288,"domain_scores_codex":[0.9977642,0.0006018558,0.000752855,0.0002239356,0.0004270379,0.0002301596],"domain_scores_gemma":[0.9973618,0.000506845,0.00109136,0.0001709609,0.0007471406,0.0001218639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02453255,0.005828457,0.9618898,0.00003044324,0.0007430823,0.00005158442,0.002860358,8.712103e-7,0.000008456342,0.000003621898,0.00001535132,0.004035433],"study_design_scores_gemma":[0.03365259,0.04544209,0.9174358,0.0003683968,0.0004596743,0.0000769159,0.00243403,0.0000102675,0.00002228459,0.00002528611,0.000002637967,0.00007008274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977728,0.00005363127,0.00001552749,0.0004608898,0.0004782014,0.0009096963,0.00003268082,0.000001741754,0.0002748856],"genre_scores_gemma":[0.9993356,0.00001135393,0.00005147201,0.000456121,0.0001149106,0.00000359958,0.000002489099,0.000009801098,0.0000146668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04445405,"threshold_uncertainty_score":0.4058186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03442010174061791,"score_gpt":0.3699743042390964,"score_spread":0.3355542024984784,"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."}}