{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001689335,0.0004811138,0.0003212491,0.002107962,0.0007343111,0.001858107,0.0009109296,0.0005869119,0.007098717],"category_scores_gemma":[0.002552908,0.0001914216,0.0005903217,0.001244158,0.001362233,0.001717248,0.001944728,0.000863898,0.001088458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227705,"about_ca_system_score_gemma":0.002100793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000855539,"about_ca_topic_score_gemma":0.001065208,"domain_scores_codex":[0.9984342,0.0005481106,0.00005894605,0.0002552238,0.0005516075,0.0001519345],"domain_scores_gemma":[0.9990397,0.0003445373,0.0001497948,0.0001617163,0.0002529628,0.00005126045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001236502,0.0002334511,0.002212607,0.0009173503,0.00004280062,0.0001220825,0.001598335,0.01163846,0.02085199,0.3261193,0.004317093,0.6318229],"study_design_scores_gemma":[0.0002129795,0.001943079,0.01277681,0.001484439,0.0002072429,0.0008589662,0.003276167,0.09512854,0.06951281,0.3707909,0.4436293,0.0001789076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0609741,0.009839975,0.7547904,0.002698107,0.0006251961,0.0007159577,0.0001556369,0.0006484017,0.1695522],"genre_scores_gemma":[0.6134641,0.007403918,0.3397835,0.0004620591,0.0004019596,0.001042879,0.0001472962,0.0001345904,0.03715978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007098717,"threshold_uncertainty_score":0.0237475,"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."}}