{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002932896,0.001281041,0.001517687,0.0004762652,0.002316389,0.001970117,0.003606379,0.001311452,0.02310499],"category_scores_gemma":[0.0035625,0.001348828,0.0009812716,0.004253838,0.002307665,0.001873919,0.0009590052,0.002392003,0.01306696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005295329,"about_ca_system_score_gemma":0.004757612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003063288,"about_ca_topic_score_gemma":0.0009592301,"domain_scores_codex":[0.9862522,0.001812364,0.001998113,0.002394643,0.003702675,0.003839952],"domain_scores_gemma":[0.9917241,0.001081825,0.0007806182,0.001398573,0.0006981664,0.004316655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006824846,0.001618946,0.005104374,0.0006456866,0.0009323781,0.0007505738,0.05752117,0.00008890755,0.003677283,0.2447663,0.6375768,0.04663507],"study_design_scores_gemma":[0.002195805,0.0009758619,0.00226838,0.0001756176,0.0001862308,0.0000230383,0.01133305,0.002026087,0.002061821,0.00353663,0.9733184,0.001899066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07018299,0.002409232,0.0006248713,0.3297586,0.003068026,0.002651251,0.001231992,0.001356006,0.588717],"genre_scores_gemma":[0.9404794,0.001711529,0.0004214649,0.01530379,0.007308597,0.0001525526,0.0001760828,0.0001935907,0.03425297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8702964,"threshold_uncertainty_score":0.9999942,"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."}}