{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"61c53d418d31","filters":{"venue":"RUDN Journal of Public Administration"}},"results":[{"id":"W4386568237","doi":"10.22363/2312-8313-2023-10-2-269-285","title":"Toward an Integrated Model for Public Technology Policy Analysis - a Taxonomy Useful for Determining Scope and Type of Analysis","year":2023,"lang":"en","type":"article","venue":"RUDN Journal of Public Administration","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Scope (computer science); Policy analysis; Process (computing); Public policy; Management science; sort; Technology policy; Policy studies; Taxonomy (biology); Point (geometry); Risk analysis (engineering); Computer science; Political science; Economics; Business; Public administration; Sociology; Social science","authors":[{"name":"Gunnar K. Njålsson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2813706636378143,"gpt":0.3506954916509146,"spread":0.06932482801310025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001524069,0.0001225626,0.0005819159,0.005910978,0.0001064418,0.0001482861,0.0002226099,0.0001677402,0.00002304475],"category_scores_gemma":[0.001142213,0.0001257208,0.0002257883,0.006506559,0.00007501527,0.0007199955,0.00002228424,0.0001073377,0.00000150532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007223356,"about_ca_system_score_gemma":0.0004636753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001094843,"about_ca_topic_score_gemma":0.00009954838,"domain_scores_codex":[0.9983142,0.00001855406,0.001145934,0.0002164599,0.00005196317,0.0002528609],"domain_scores_gemma":[0.9975652,0.00007250822,0.001373308,0.0001828357,0.0007038516,0.0001022837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001023222,0.0002026349,0.0807368,0.0000842118,0.003645813,0.000002052892,0.0004636815,0.002352432,0.0001456366,0.8992371,0.0005437733,0.01248353],"study_design_scores_gemma":[0.001304818,0.001293098,0.01097229,0.00001174185,0.0006276794,0.0000169101,0.0007712384,0.9353454,0.0003419673,0.03119629,0.01778551,0.0003331055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3834407,0.00008055771,0.609396,0.006407463,0.00006602416,0.0002078754,0.0002503831,0.00002152391,0.0001294097],"genre_scores_gemma":[0.9866763,0.00005303771,0.01266606,0.00008706955,0.00009984767,0.00003591994,0.0001882193,0.00001296541,0.0001805776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9329929,"threshold_uncertainty_score":0.5274304,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2767355726","doi":"10.22363/2312-8313-2017-4-1-81-89","title":"CANADIAN EXPERIENCE IN COMPETITIVE SELECTION OF CANDIDATES FOR REPLACEMENT ON PUBLIC ADMINISTRATION POSTS","year":2017,"lang":"en","type":"article","venue":"RUDN Journal of Public Administration","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Competence (human resources); Transparency (behavior); Public service; Administration (probate law); Public relations; Selection (genetic algorithm); Public administration; Political science; Russian federation; Psychology; Business; Sociology; Social psychology; Computer science; Regional science; Law","authors":[{"name":"A.P. Golovenkova","is_ca":false},{"name":"Е. В. Лылова","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07260511237034378,"gpt":0.4000093903728941,"spread":0.3274042780025503,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393566,0.00009840785,0.0001864449,0.0002775061,0.0006285679,0.0004656671,0.0003229825,0.0001034822,0.0001263884],"category_scores_gemma":[0.001799383,0.00009399035,0.00006531605,0.0001431003,0.0001614384,0.001249621,0.000008110777,0.0001317975,0.000002396849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004811265,"about_ca_system_score_gemma":0.003900119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01733361,"about_ca_topic_score_gemma":0.680373,"domain_scores_codex":[0.9985142,0.00016837,0.0004894513,0.0001353547,0.0003875092,0.0003051234],"domain_scores_gemma":[0.9980339,0.0001129756,0.0008213926,0.0001348937,0.0005864615,0.0003103101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005345047,0.0004070726,0.1826564,0.00003556066,0.00005767976,0.00001859499,0.01575878,0.000001773736,0.0008757139,0.7906643,0.001864021,0.007125681],"study_design_scores_gemma":[0.003571082,0.01055108,0.15036,0.0003971569,0.00005536355,0.00008734963,0.02924694,0.0003684647,0.03230664,0.006231526,0.7660506,0.0007737965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272718,0.00002260229,0.0001409402,0.0547212,0.0004305826,0.0003475753,0.00003637567,0.00000736746,0.01702155],"genre_scores_gemma":[0.9986291,0.00003104208,0.0002158663,0.0001010966,0.0003967347,0.00001534374,0.00001689492,0.000006021911,0.0005878996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7844327,"threshold_uncertainty_score":0.9892101,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}