{"id":"W6949862606","doi":"10.5281/zenodo.14604807","title":"Вивчення факторів ризику інсулінорезистентності у жінок з обтяженим метаболічним анамнезом","year":2024,"lang":"uk","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk factor; Odds ratio; Resistance (ecology); Risk assessment; Odds","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":[0.007099511,0.0008489681,0.0005927972,0.003057798,0.00629466,0.0194676,0.001531236,0.003984571,0.04379703],"category_scores_gemma":[0.01751665,0.0009896354,0.001060856,0.00314774,0.01354222,0.01132463,0.005644734,0.00610842,0.01849582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007238384,"about_ca_system_score_gemma":0.01485872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310823,"about_ca_topic_score_gemma":0.01506066,"domain_scores_codex":[0.9898319,0.003334849,0.0006191265,0.001404512,0.00389915,0.0009104602],"domain_scores_gemma":[0.9904151,0.002851506,0.0008341423,0.001366487,0.003427332,0.001105418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000701044,0.00006246773,0.002491784,0.0004651401,0.00003200447,0.0003447848,0.010389,0.0005011768,0.000991371,0.8533933,0.05257806,0.0786808],"study_design_scores_gemma":[0.00002176381,0.00003537719,0.00227051,0.0007240727,0.00003603939,0.0003696326,0.006940007,0.0004073244,0.001108645,0.1738716,0.8141471,0.00006781847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01672264,0.01980898,0.03589582,0.06516474,0.003973374,0.0002823851,0.0009723864,0.0005146485,0.856665],"genre_scores_gemma":[0.5867313,0.02791833,0.05924927,0.01006431,0.00245706,0.0009228534,0.001051927,0.001133104,0.3104719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04379703,"threshold_uncertainty_score":0.1465156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03129361653985571,"score_gpt":0.2698740758670927,"score_spread":0.238580459327237,"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."}}