{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005005556,0.0003441116,0.0002890087,0.001738923,0.0003637969,0.0009892691,0.0001793661,0.0003160799,0.003556427],"category_scores_gemma":[0.000823343,0.000174442,0.0003561187,0.0009779945,0.0001663759,0.0002650048,0.0002319328,0.0004757892,0.0004393122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495891,"about_ca_system_score_gemma":0.0001657215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007078697,"about_ca_topic_score_gemma":0.0006119346,"domain_scores_codex":[0.9996817,0.00006643811,0.00005033008,0.00006046894,0.00009365595,0.0000474819],"domain_scores_gemma":[0.9996377,0.00009776876,0.0001076136,0.0000178327,0.00008676308,0.00005233365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001397992,0.0003115678,0.9607987,0.0001880289,0.0001925918,0.00204372,0.000751821,0.00009774006,0.01169172,0.0001177029,0.0006268146,0.02178154],"study_design_scores_gemma":[0.00004259211,0.0007593166,0.9787284,0.00009477677,0.000180077,0.00710051,0.00156415,0.0008166794,0.006974995,0.00021995,0.003495437,0.00002311194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939697,0.002425535,0.0005353298,0.0001070229,0.0000489693,0.00004481663,0.0004284816,0.00002117523,0.002419077],"genre_scores_gemma":[0.9960455,0.0008643226,0.000741787,0.00009452842,0.00004565946,0.00005333552,0.0003509826,0.000006043472,0.001797817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003556427,"threshold_uncertainty_score":0.01189744,"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."}}