{"id":"W7127041752","doi":"10.15407/socium2025.04.121","title":"Corporate pension funds in Ukraine: features of formation and development prospects","year":2025,"lang":"uk","type":"article","venue":"Ukrainian society","topic":"Labor Market and Education","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Asset (computer security); Control (management); Investment (military); Asset management; Global assets under management; Institutional investor; National Pension; Personal income","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":[],"consensus_categories":[],"category_scores_codex":[0.0009822065,0.0001881073,0.0004088951,0.0001794761,0.0001325077,0.00007738083,0.0001185737,0.0002351518,0.00007922622],"category_scores_gemma":[0.00008873019,0.0002223792,0.00008559103,0.0006061787,0.0001035293,0.0002698523,0.0000897506,0.0002121543,0.0000151693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823095,"about_ca_system_score_gemma":0.0002775041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009391129,"about_ca_topic_score_gemma":0.000189725,"domain_scores_codex":[0.9985323,0.0000233624,0.0007544898,0.0003523284,0.00005137677,0.000286175],"domain_scores_gemma":[0.9989876,0.00005623321,0.0005982325,0.0002161984,0.00008428271,0.00005740962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001098111,0.0004488717,0.6302615,0.002147089,0.0001973325,0.000001674794,0.2855932,0.00001638016,0.0001398619,0.0288245,0.01265676,0.03960298],"study_design_scores_gemma":[0.001137063,0.00003890014,0.9227791,0.0002258139,0.00001024867,0.000001238736,0.002989142,0.0007157597,0.0003436318,0.001760763,0.06973094,0.0002673308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777541,0.005631917,0.00009921447,0.001631392,0.000708426,0.0004431754,0.00004255929,0.00001604862,0.01367318],"genre_scores_gemma":[0.9910477,0.002201075,0.003234354,0.0003618689,0.00005421636,0.0000237298,0.00007674142,0.00001332993,0.002986984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2925177,"threshold_uncertainty_score":0.9068361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075517560813203,"score_gpt":0.2296959121992865,"score_spread":0.1989407365911545,"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."}}