{"id":"W1487208035","doi":"","title":"Содержание нейроспецифических белков при когнитивных нарушениях у пациентов с сахарным диабетом 1-го типа","year":2014,"lang":"ru","type":"article","venue":"Клиническая медицина","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neuropsychology; Montreal Cognitive Assessment; Cognition; Medicine; Diabetes mellitus; Cognitive deficit; Internal medicine; Cognitive decline; Disease; Cognitive impairment; Psychiatry; Pediatrics; Psychology; Gerontology; Endocrinology; Dementia","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0029725,0.00235796,0.002911174,0.001199096,0.001144036,0.0004313107,0.001748271,0.003044957,0.009019015],"category_scores_gemma":[0.001254556,0.002099208,0.001646857,0.002281589,0.001436243,0.0006081135,0.0007525598,0.003403882,0.0226257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007037137,"about_ca_system_score_gemma":0.0009597199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009312413,"about_ca_topic_score_gemma":0.0001938412,"domain_scores_codex":[0.9867994,0.001122016,0.002670922,0.002928731,0.002544289,0.003934667],"domain_scores_gemma":[0.9911106,0.0008817758,0.001160136,0.003622882,0.0007692202,0.002455452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004256637,0.005244254,0.05070131,0.004021356,0.006688566,0.002180233,0.005724947,0.0002175049,0.04394444,0.01362566,0.6828321,0.180563],"study_design_scores_gemma":[0.01568804,0.003378336,0.04635921,0.003827004,0.003703778,0.0008248094,0.002490828,0.006555437,0.008308798,0.001714719,0.9031963,0.003952723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3635244,0.0268827,0.0019778,0.02755014,0.02274873,0.004794391,0.0003854816,0.002367286,0.549769],"genre_scores_gemma":[0.8999335,0.003066796,0.001003478,0.005508053,0.005534918,0.0001021303,0.0005129614,0.0005905005,0.08374766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5364091,"threshold_uncertainty_score":0.9989159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005618366085441725,"score_gpt":0.2285321838433343,"score_spread":0.2229138177578926,"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."}}