{"meta":{"query_hash":"b562e4747fc7","filters":{"venue":"Upravlenets"},"cohort_total":3,"direct_labels_cover":1,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/b562e4747fc7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Upravlenets"},"results":[{"id":"W3009261136","doi":"10.29141/2218-5003-2020-11-1-5","title":"Models of public investment management at regional level","year":2020,"lang":"en","type":"article","venue":"Upravlenets","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Investment (military); Product (mathematics); Business; Production (economics); Strategic planning; Computer science; Industrial organization; Economics; Marketing; Political science","score_opus":0.2746964837592721,"score_gpt":0.2993849311322302,"score_spread":0.02468844737295811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009261136","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17829335,0.0017061713,0.6415389,0.0060856882,0.00018603414,0.00020782507,0.002429485,0.0006140887,0.16893834],"genre_scores_gemma":[0.9314717,0.0014166854,0.02496821,0.000096084805,0.000063815816,0.00029362887,0.00048063672,0.000108001484,0.041101176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992143,0.0003098816,0.000031034695,0.00017825594,0.0000884426,0.00017808432],"domain_scores_gemma":[0.999236,0.0002876223,0.00016760628,0.000052393047,0.00015520585,0.00010118421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001346161,0.0006682446,0.0006063553,0.0011477486,0.00067354896,0.0031792375,0.0018618114,0.0014694758,0.008781657],"category_scores_gemma":[0.0023826193,0.00051667716,0.0012287719,0.0011974558,0.0011054886,0.0023811462,0.0012603849,0.0009139015,0.0009623634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024855788,0.000031638752,0.0016182094,0.000041180185,0.00004123666,0.00010583246,0.00017939809,0.70845526,0.0002181182,0.28238174,0.0014963065,0.005406113],"study_design_scores_gemma":[0.000020581776,0.000038470782,0.0010760246,0.00003200043,0.00004524712,0.000041591164,0.00024171658,0.8882036,0.00013563015,0.10175379,0.008392257,0.000019156829],"about_ca_topic_score_codex":0.022720875,"about_ca_topic_score_gemma":0.014450195,"teacher_disagreement_score":0.022720875,"about_ca_system_score_codex":0.0048469184,"about_ca_system_score_gemma":0.0029350594,"threshold_uncertainty_score":0.04517722},"labels":[],"label_agreement":null},{"id":"W4294931126","doi":"10.29141/2218-5003-2022-13-4-5","title":"The role of socio-economic and scientometric indicators in the cancer mortality rate","year":2022,"lang":"en","type":"article","venue":"Upravlenets","topic":"Global Health Care Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scientometrics; Test (biology); Spearman's rank correlation coefficient; Health care; Regional science; Geography; Social science; Statistics; Economic growth; Economics; Sociology; Mathematics","score_opus":0.04684042516049927,"score_gpt":0.4627552905094383,"score_spread":0.41591486534893907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294931126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9527717,0.008088767,0.00367952,0.0036546497,0.00020332831,0.00013061076,0.0094404435,0.00012512496,0.021905823],"genre_scores_gemma":[0.99662256,0.0009178965,0.0005318582,0.000042474076,0.000097346325,0.00003921196,0.0014608557,0.00001182702,0.00027598414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9901338,0.0033025471,0.0012973627,0.0007530747,0.0038860575,0.0006271067],"domain_scores_gemma":[0.94273543,0.025941446,0.019649552,0.003347006,0.005959097,0.0023673829],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.010797105,0.00032764865,0.00077189575,0.02428561,0.00075183884,0.0034582184,0.0005942765,0.00059746834,0.0018878711],"category_scores_gemma":[0.060196888,0.00015783698,0.0013313466,0.044494476,0.0011757032,0.0020890217,0.0019180239,0.0009329275,0.00040569386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046492623,0.000028741866,0.9852277,0.00016337771,0.00024039992,0.000066763074,0.00032860655,0.000718509,0.000032995198,0.0010222304,0.0007220531,0.011402085],"study_design_scores_gemma":[0.000002700918,0.000021147176,0.9953053,0.00006096468,0.00007711378,0.00006207705,0.0005511386,0.0011400102,0.000058241072,0.0007144323,0.0019918769,0.000014921299],"about_ca_topic_score_codex":0.008350955,"about_ca_topic_score_gemma":0.0058991835,"teacher_disagreement_score":0.9757144,"about_ca_system_score_codex":0.0019354619,"about_ca_system_score_gemma":0.0025472739,"threshold_uncertainty_score":0.05710119},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W4400513262","doi":"10.29141/2218-5003-2024-15-3-6","title":"Factors in consumer choice of Russian retail chains’ private labels: The role of green attributes","year":2024,"lang":"en","type":"article","venue":"Upravlenets","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Business; Private label; Marketing; Advertising; Commerce; Industrial organization","score_opus":0.05873036755313445,"score_gpt":0.27015683870877255,"score_spread":0.21142647115563812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400513262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776995,0.00003916631,0.0001965993,0.000050133705,0.0000012349573,0.0000045917454,0.000009201809,0.0000011537423,0.0019281007],"genre_scores_gemma":[0.9995523,0.00002686192,0.00010354143,0.0000068377763,0.0000012622261,0.0000015710397,0.000010051782,8.946973e-7,0.00029655203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993248,0.00033114472,0.000030705236,0.000089217305,0.00015511682,0.00006904713],"domain_scores_gemma":[0.997843,0.0013169271,0.00046482906,0.00011110402,0.0001589459,0.0001051667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011096484,0.00012530178,0.00016112092,0.00039963346,0.00047017343,0.0014229687,0.00013882185,0.00035896053,0.002797243],"category_scores_gemma":[0.0022745056,0.00012574585,0.00026865466,0.00049339473,0.0009405508,0.00085145934,0.00044368114,0.0003326474,0.00017278544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073048327,0.00042875845,0.91674757,0.00015800806,0.000079158075,0.00065300317,0.029484585,0.0008234141,0.007317041,0.0072137276,0.00031309642,0.036051203],"study_design_scores_gemma":[0.000010400465,0.00014809635,0.9661523,0.000049664148,0.000041990614,0.00018859455,0.024991382,0.0019739694,0.0011766551,0.0026859182,0.0025534087,0.000027683467],"about_ca_topic_score_codex":0.0031487157,"about_ca_topic_score_gemma":0.0038937295,"teacher_disagreement_score":0.0031487157,"about_ca_system_score_codex":0.0006768945,"about_ca_system_score_gemma":0.00031289074,"threshold_uncertainty_score":0.009357691},"labels":[],"label_agreement":null}]}