{"id":"W7131436242","doi":"10.24412/2226-0757-2025-13360","title":"Нейрометаболическая коррекция в схеме амбулаторного наблюдения пациента с осложненным течением сахарного диабета 2-го типа (клиническое наблюдение)","year":2025,"lang":"","type":"article","venue":"cyberleninka.ru","topic":"Neurological Disorders and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Identification (biology); Context (archaeology); Montreal Cognitive Assessment","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.00124867,0.003867116,0.003578727,0.001688826,0.003650932,0.001860564,0.005095157,0.00231531,0.00507894],"category_scores_gemma":[0.002689113,0.003724969,0.002345552,0.006020048,0.003047171,0.001707907,0.002946235,0.004149298,0.007756947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008338162,"about_ca_system_score_gemma":0.001313436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005662674,"about_ca_topic_score_gemma":0.0002249851,"domain_scores_codex":[0.9784759,0.002205099,0.003831859,0.006928846,0.002841384,0.005716901],"domain_scores_gemma":[0.9882921,0.002505633,0.00154393,0.005091451,0.0006477596,0.001919121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006970006,0.0332371,0.06649677,0.002396189,0.003589204,0.01336425,0.005929177,0.001452878,0.1119581,0.2604674,0.2471637,0.2469753],"study_design_scores_gemma":[0.03118327,0.008120151,0.08044767,0.002636957,0.004353623,0.0005116892,0.001717375,0.005799921,0.1311554,0.05786039,0.6647406,0.01147293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7289737,0.0161787,0.001777607,0.01507536,0.01729439,0.007106216,0.00171921,0.00222817,0.2096466],"genre_scores_gemma":[0.8990948,0.005397671,0.0004638577,0.01876907,0.0007206161,0.0005064091,0.00016529,0.000418147,0.07446413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4175768,"threshold_uncertainty_score":0.999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206981325148726,"score_gpt":0.283197600651841,"score_spread":0.2624994681369684,"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."}}