{"id":"W7160571910","doi":"","title":"Характеристика динаміки батокінового обміну хворих при ішемічній хворобі серця та ожирінні на тлі терапії","year":2023,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comorbidity; Obesity; Coronary heart disease; Disease; FGF21; Diabetes mellitus; Heart disease; Kidney disease","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":[0.001512365,0.0003371114,0.0004199577,0.002054447,0.0006454567,0.00257119,0.000379001,0.0006011099,0.01680094],"category_scores_gemma":[0.005508893,0.0003977898,0.0006163727,0.001882906,0.001184262,0.001120638,0.0007242734,0.001434274,0.006216268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007806995,"about_ca_system_score_gemma":0.001679076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002596168,"about_ca_topic_score_gemma":0.002839724,"domain_scores_codex":[0.9987147,0.0003090586,0.0001318387,0.0001432176,0.0005579627,0.0001432668],"domain_scores_gemma":[0.9981167,0.0006863505,0.0004030339,0.0001735401,0.0004654602,0.00015496],"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":[0.001232184,0.0004362433,0.1475326,0.001746881,0.0002016842,0.003203519,0.00733148,0.001527292,0.02702812,0.03663164,0.02625352,0.7468749],"study_design_scores_gemma":[0.0001811736,0.001175844,0.3337477,0.001785996,0.000390502,0.01597386,0.008608821,0.002562013,0.02349486,0.04669324,0.5650339,0.0003520653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5529207,0.1282127,0.05959654,0.01666693,0.003836341,0.000719519,0.003752679,0.0005113806,0.2337832],"genre_scores_gemma":[0.894838,0.03540127,0.02893166,0.0006919775,0.0009843678,0.0003767986,0.0009757237,0.0002625579,0.03753757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01680094,"threshold_uncertainty_score":0.05620474,"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."}}