{"id":"W4415699499","doi":"10.34132/pard2025.29.17","title":"ANALYSIS OF WORLD EXPERIENCE IN THE FIELD OF IMPROVING THE PROCESS OF INTERACTION OF CIVIL EMPLOYEES IN CYBERSPACE","year":2025,"lang":"uk","type":"article","venue":"Public Administration and Regional Development","topic":"Labor Market and Education","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Civil servants; Process (computing); Cyberspace; Competence (human resources); Field (mathematics)","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":[0.003127335,0.0004412534,0.0003321233,0.001854014,0.00510006,0.004822357,0.0006772872,0.001152465,0.004330392],"category_scores_gemma":[0.007388529,0.0002092958,0.0002972619,0.001509195,0.005629753,0.004640696,0.004255674,0.001544539,0.0005165411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174212,"about_ca_system_score_gemma":0.001122357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00219473,"about_ca_topic_score_gemma":0.003654252,"domain_scores_codex":[0.9945426,0.003675325,0.0001165182,0.0002684117,0.0006053086,0.0007917203],"domain_scores_gemma":[0.99388,0.003264806,0.0007395794,0.000298863,0.0007686215,0.001048168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005354308,0.0001033043,0.01216391,0.0001079137,0.00001224186,0.0009845083,0.9574599,0.0002036932,0.001196648,0.005421069,0.002264445,0.02002876],"study_design_scores_gemma":[0.00000179307,0.00009212187,0.009501101,0.00009996064,0.000007565856,0.0005119509,0.9445726,0.0001945292,0.0006561931,0.000640211,0.04369414,0.00002779475],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531968,0.0008259009,0.004140377,0.001639976,0.00008092143,0.00002907301,0.00006737745,0.0000353898,0.03998427],"genre_scores_gemma":[0.9929746,0.0006801551,0.0005790983,0.0002327029,0.00002587904,0.00001666608,0.00004733014,0.00003360995,0.005409875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00510006,"threshold_uncertainty_score":0.01653916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805621549314592,"score_gpt":0.3095239306161781,"score_spread":0.2714677151230322,"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."}}