{"id":"W4247196543","doi":"10.32689/2617-2224-2018-15-5-296-305","title":"ПРИНЦИП ДЕЦЕНТРАЛІЗАЦІЇ ЯК ОСНОВА ФОРМУВАННЯ ЯКІСНОГО КАДРОВОГО ПОТЕНЦІАЛУ СИСТЕМИ ПУБЛІЧНОГО УПРАВЛІННЯ","year":2018,"lang":"uk","type":"article","venue":"UKRAINIAN ASSEMBLY OF DOCTORS OF SCIENCES IN PUBLIC ADMINISTRATION","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003161322,0.001071266,0.0006846113,0.002303974,0.00402987,0.01129723,0.001600439,0.002755775,0.07386785],"category_scores_gemma":[0.01113346,0.000990816,0.0009402256,0.002194503,0.005625491,0.0079357,0.004728387,0.003644445,0.03027018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003808371,"about_ca_system_score_gemma":0.006950575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006815777,"about_ca_topic_score_gemma":0.006192523,"domain_scores_codex":[0.9949916,0.001285135,0.0003172812,0.0008957378,0.001980025,0.0005302106],"domain_scores_gemma":[0.9954895,0.001117629,0.0004035255,0.0008001183,0.001716288,0.0004729205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001055631,0.00007499002,0.002244602,0.0004475607,0.00004602735,0.0006156413,0.004461503,0.001003578,0.003128665,0.884364,0.02839145,0.07511646],"study_design_scores_gemma":[0.0000391638,0.00006310619,0.0028312,0.0005269591,0.00005845649,0.0006393766,0.004771969,0.001509786,0.003719443,0.2729139,0.7128224,0.0001042115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01923635,0.004792463,0.09456899,0.01440633,0.001688853,0.0003078112,0.001173891,0.0007816459,0.8630437],"genre_scores_gemma":[0.4669832,0.009848852,0.1307052,0.004090127,0.001119181,0.00102307,0.001751623,0.001699519,0.3827794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07386785,"threshold_uncertainty_score":0.2471126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232160376520359,"score_gpt":0.2999672419780008,"score_spread":0.2676456382127972,"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."}}