{"id":"W7139178868","doi":"","title":"Залежність рівня життя населення в Україні від політичних циклів(Dependence of standards of living in Ukraine from political cycles)","year":2019,"lang":"uk","type":"article","venue":"Digital Repository of Ostroh Academy (Ostroh Academy)","topic":"Labor Market and Education","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presidential system; Politics; Standard of living; Opposition (politics); Quarter (Canadian coin); Inflation (cosmology); State (computer science); Presidential election","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":[0.0005342377,0.0001049475,0.0001494456,0.001185104,0.0008422855,0.002335005,0.0001646603,0.0001939924,0.00272369],"category_scores_gemma":[0.001839901,0.0001439471,0.0002457375,0.001271828,0.0008491004,0.0006655209,0.0009813873,0.0004002622,0.000302952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738835,"about_ca_system_score_gemma":0.002151977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0231933,"about_ca_topic_score_gemma":0.01693472,"domain_scores_codex":[0.9993703,0.0001409761,0.00006153465,0.0001309523,0.0001693151,0.0001269533],"domain_scores_gemma":[0.9991271,0.0001993804,0.0003012654,0.00007445927,0.0002159415,0.00008192629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001529379,0.00008370322,0.601774,0.0003693762,0.0001975837,0.001026639,0.01621955,0.004326795,0.00301132,0.1929797,0.003102264,0.1767561],"study_design_scores_gemma":[0.000006485973,0.00006353112,0.9195876,0.0001590264,0.00005932379,0.0004785377,0.005932353,0.001635615,0.001502072,0.02469005,0.04584796,0.00003740077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9108915,0.002693306,0.003922977,0.001338507,0.0000436003,0.00002933317,0.0008234402,0.00002791611,0.08022945],"genre_scores_gemma":[0.9965144,0.0004936256,0.0004699639,0.00002405728,0.000008303963,0.000007117586,0.0001147874,0.000005298252,0.002362513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0231933,"threshold_uncertainty_score":0.04611659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146448020380183,"score_gpt":0.2491574883829935,"score_spread":0.2345126863449752,"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."}}