{"id":"W2252698606","doi":"","title":"Innovative Methods For Improvement Of Personnel Potential Of Public Authorities","year":2014,"lang":"en","type":"article","venue":"Economics of Development","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; Business; Government (linguistics); Human resource management; Administration (probate law); State (computer science); Public management; Public administration; Risk analysis (engineering); Knowledge management; Marketing; Computer science; Political science","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":[0.0014767,0.0001471893,0.0003992614,0.00009470498,0.00006090609,0.0000104379,0.000274436,0.00006128097,0.0003846569],"category_scores_gemma":[0.00006024436,0.0001511959,0.0000630544,0.0001026249,0.0001639634,0.0001673313,0.0002591615,0.00003779944,0.00000782679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062642,"about_ca_system_score_gemma":0.000128481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005409735,"about_ca_topic_score_gemma":0.00002101872,"domain_scores_codex":[0.9985776,0.00002063426,0.0008434975,0.0002617836,0.0000589117,0.0002375972],"domain_scores_gemma":[0.9990786,0.00006712113,0.0005555325,0.0001820296,0.00006231678,0.00005443018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006283522,0.0002781432,0.01741306,0.0002249806,0.0002611738,5.55784e-8,0.003947156,0.001195468,0.02638131,0.01262232,0.0003189544,0.9372945],"study_design_scores_gemma":[0.003216598,0.0004077606,0.2295015,0.00007494287,0.00003787404,0.000002831318,0.004466099,0.009149465,0.6579463,0.0110539,0.08310004,0.001042671],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8714477,0.00001298774,0.1251744,0.0001678501,0.0003424032,0.0002859726,0.00001196919,0.000006257842,0.002550461],"genre_scores_gemma":[0.7061914,0.00001191611,0.2934944,0.00003373975,0.00001274591,0.00004501139,0.0000119882,0.000011054,0.0001877919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9362519,"threshold_uncertainty_score":0.6165591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278860700636958,"score_gpt":0.2497584447484696,"score_spread":0.2269698377421001,"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."}}