{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0008410202,0.001592245,0.002117356,0.0008460818,0.0008834212,0.0006181701,0.001122659,0.0007890795,0.000366154],"category_scores_gemma":[0.0004192188,0.001550993,0.001009331,0.001789719,0.0004280267,0.00100053,0.0003526396,0.002254375,0.0004320795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003981461,"about_ca_system_score_gemma":0.0007313223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002102603,"about_ca_topic_score_gemma":0.00006364858,"domain_scores_codex":[0.9898598,0.0009839359,0.0021783,0.002427615,0.001869488,0.002680822],"domain_scores_gemma":[0.993413,0.0002694777,0.0006282202,0.001748699,0.0005220359,0.003418517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006584033,0.003858401,0.6358429,0.004956236,0.0008868951,0.01726101,0.01292212,0.00003524348,0.2243396,0.001416224,0.05800844,0.03388884],"study_design_scores_gemma":[0.02603722,0.005637897,0.7269751,0.0009651033,0.001282136,0.004982957,0.001101603,0.00296601,0.05834537,0.0001807039,0.1675823,0.003943631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583761,0.0004507882,0.000652117,0.03369973,0.00115968,0.002818425,0.0002899584,0.001136123,0.001417039],"genre_scores_gemma":[0.9533728,0.0002875415,0.0009516089,0.03953937,0.003854506,0.0002475764,0.0008803357,0.0004183968,0.0004478864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1659943,"threshold_uncertainty_score":0.9996825,"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."}}