{"id":"W3163727515","doi":"","title":"ДАВЛАТ ХИЗМАТЧИЛАРИ ФАОЛИЯТИ САМАРАДОРЛИГИНИ БАҲОЛАШДА ХОРИЖИЙ МАМЛАКАТЛАР ТАЖРИБАСИ","year":2020,"lang":"ru","type":"article","venue":"Журнал Социальных Исследований","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public sector; Productivity; Government (linguistics); Business; Work (physics); Private sector; Performance indicator; Public administration; Political science; Economic growth; Economics; Marketing; Engineering; Economy","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":[0.001689457,0.0003726059,0.0003083592,0.002192422,0.001844234,0.004654635,0.0005309772,0.001094221,0.03915938],"category_scores_gemma":[0.004080271,0.0004331347,0.0004964449,0.002255675,0.002111581,0.001710263,0.001495981,0.001858029,0.01402488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002156238,"about_ca_system_score_gemma":0.004518068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00714002,"about_ca_topic_score_gemma":0.008664535,"domain_scores_codex":[0.9980959,0.0003661926,0.00008856884,0.0003223075,0.000911938,0.0002151481],"domain_scores_gemma":[0.997898,0.0006331369,0.0002966825,0.0002967065,0.0006567516,0.0002187278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002104517,0.0001327181,0.005494555,0.0005812619,0.00004631478,0.001375316,0.003632616,0.001545444,0.01558826,0.5724603,0.02702685,0.371906],"study_design_scores_gemma":[0.00004107537,0.0001103738,0.01186771,0.0002653327,0.00004467457,0.001302898,0.001537497,0.000907703,0.00733004,0.0659508,0.910557,0.0000849504],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08377889,0.01419847,0.08243492,0.008542293,0.001701181,0.0005449805,0.001426004,0.0006803864,0.8066929],"genre_scores_gemma":[0.7311619,0.01378031,0.07025865,0.0007600672,0.0007246984,0.0007251485,0.0008797665,0.0004230677,0.1812864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03915938,"threshold_uncertainty_score":0.1310012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2008536439977514,"score_gpt":0.4448077276903993,"score_spread":0.2439540836926479,"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."}}