{"id":"W2998490011","doi":"10.52386/neurona.v36i3.74","title":"HUBUNGAN NILAI P300 DENGAN MOCA-INA PADA PASIEN DENGAN GANGGUAN KOGNITIF VASKULAR PASCASTROKE ISKEMIK","year":2020,"lang":"en","type":"article","venue":"Majalah Kedokteran Neurosains Perhimpunan Dokter Spesialis Saraf Indonesia","topic":"Public Health and Nutrition","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Cognitive impairment; Ischemic stroke; Stroke (engine); Cardiology; Medicine; Internal medicine; Neuropsychology; Correlation; Cognition; Psychiatry; Ischemia; Physics","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":[0.0003736156,0.0004852,0.0005317762,0.001043535,0.0005183094,0.001172838,0.0003498134,0.0004286101,0.0167297],"category_scores_gemma":[0.001871253,0.0001723272,0.0004272639,0.0006480931,0.0004145532,0.0007736034,0.0004473734,0.0007384964,0.002011785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005010152,"about_ca_system_score_gemma":0.0005568694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002508065,"about_ca_topic_score_gemma":0.001972866,"domain_scores_codex":[0.9997119,0.00004166107,0.00004002118,0.0000537349,0.00009552379,0.00005698098],"domain_scores_gemma":[0.9994374,0.0001554414,0.0001465592,0.00002194572,0.0001803441,0.00005825519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003008162,0.0007895289,0.390225,0.002621229,0.000660588,0.02192572,0.00238889,0.0009649909,0.03069688,0.0048802,0.02595854,0.5158803],"study_design_scores_gemma":[0.0001636935,0.0008913421,0.8817474,0.0007864911,0.0004657901,0.04987519,0.002853109,0.004847715,0.009441517,0.00789508,0.04087958,0.0001530843],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074342,0.02779133,0.008411567,0.00471659,0.0008889721,0.0002405233,0.001267681,0.0003712435,0.04887789],"genre_scores_gemma":[0.9786624,0.007661584,0.002456882,0.0004284661,0.0003336306,0.0000898285,0.0006314864,0.00003839246,0.00969728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167297,"threshold_uncertainty_score":0.05596644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070202881059981,"score_gpt":0.2627275429539561,"score_spread":0.2320255141433563,"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."}}