{"id":"W7160571514","doi":"","title":"Кореляційні взаємозалежності характеристик вуглеводного обміну та ліпідного профілю і рівнів батокінів хворих при ішемічній хворобі серця та ожирінні","year":2023,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronary heart disease; Very low-density lipoprotein; Comorbidity; Lipid metabolism; Obesity; Risk factor; Lipoprotein; Cholesterol; Lipid profile; Carbohydrate metabolism","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":[0.003101899,0.0003299683,0.0004740641,0.003122114,0.001107421,0.003688486,0.0005771236,0.0007776179,0.01962216],"category_scores_gemma":[0.008000417,0.000689198,0.0006029822,0.002698313,0.002068399,0.001609448,0.001016966,0.001527238,0.006436928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000964464,"about_ca_system_score_gemma":0.003784009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003669914,"about_ca_topic_score_gemma":0.006096542,"domain_scores_codex":[0.9974009,0.0007332693,0.0002958184,0.0003022867,0.00106505,0.0002027204],"domain_scores_gemma":[0.9958423,0.001479627,0.0007132682,0.0004375204,0.001283486,0.0002437891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009898737,0.0004154369,0.08141457,0.003101625,0.0002176144,0.003237323,0.01192647,0.001998066,0.03924648,0.106874,0.03611293,0.7144657],"study_design_scores_gemma":[0.0001729342,0.0006791052,0.1461554,0.001822672,0.0004159072,0.006919006,0.0108915,0.00286335,0.03779648,0.1051455,0.6867213,0.0004167028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3897324,0.09073858,0.1550443,0.02541288,0.006161715,0.001835119,0.006984627,0.0007816885,0.3233088],"genre_scores_gemma":[0.8334193,0.03146484,0.08270609,0.0008751712,0.001155952,0.001003154,0.001385793,0.0003175706,0.04767222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01962216,"threshold_uncertainty_score":0.0656426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07789585297337541,"score_gpt":0.365990446880208,"score_spread":0.2880945939068326,"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."}}