{"id":"W2938391835","doi":"10.52386/neurona.v35i1.38","title":"ANALISIS KADAR AMILOID BETA PLASMA DENGAN GANGGUAN KOGNITIF PADA DIABETES MELITUS TIPE 2","year":2017,"lang":"en","type":"article","venue":"Majalah Kedokteran Neurosains Perhimpunan Dokter Spesialis Saraf Indonesia","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Internal medicine; Montreal Cognitive Assessment; Disease; Diabetes mellitus; Medicine; Logistic regression; Type 2 diabetes; Amyloid beta; Amyloid (mycology); Alzheimer's disease; Cognition; Receiver operating characteristic; Type 2 Diabetes Mellitus; Endocrinology; Pathology; 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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009717923,0.001250858,0.001826236,0.0009320266,0.002038306,0.00140058,0.001446959,0.0006646745,0.0003385225],"category_scores_gemma":[0.0005113101,0.001173062,0.000812408,0.0005338822,0.0006982595,0.001426607,0.000402811,0.001353522,0.000237978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273114,"about_ca_system_score_gemma":0.0004856936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004534621,"about_ca_topic_score_gemma":0.00017443,"domain_scores_codex":[0.9920545,0.0005375912,0.001654038,0.001864322,0.00151782,0.002371753],"domain_scores_gemma":[0.9932101,0.0002617544,0.0009000447,0.003237725,0.0005196726,0.001870642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001366704,0.001436606,0.9221667,0.001165125,0.0004060557,0.002564639,0.001090571,0.000002888892,0.03048707,0.000668265,0.0182647,0.02038067],"study_design_scores_gemma":[0.009764506,0.001195509,0.9144585,0.0006274444,0.0005456722,0.0006335753,0.0001350776,0.0006799223,0.03386491,0.0001485437,0.03651556,0.001430806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974691,0.0003341175,0.00004444009,0.01610428,0.001925555,0.001819358,0.0003712747,0.0005505614,0.004159392],"genre_scores_gemma":[0.9865306,0.000315714,0.0004502403,0.00816033,0.002753761,0.0002085227,0.0006660902,0.0002793396,0.0006354212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01894986,"threshold_uncertainty_score":0.9996361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403429221316238,"score_gpt":0.2873426360580038,"score_spread":0.2633083438448414,"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."}}