{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"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":"5dfd169554ee","filters":{"venue":"Economy of Regions"}},"results":[{"id":"W2332605846","doi":"10.17059/2014-2-9","title":"Comparative estimates of Kamchatka territory development in the context of northern territories of foreign countries","year":2014,"lang":"en","type":"article","venue":"Economy of Regions","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geography; Context (archaeology); Regional science; Economic geography; Archaeology","authors":[{"name":"А. Г. Шеломенцев","is_ca":false},{"name":"Olga Kozlova","is_ca":false},{"name":"Tatyana Terentyeva","is_ca":false},{"name":"Ye. B. Bedrina","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03461733077464352,"gpt":0.296370547812301,"spread":0.2617532170376575,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003670406,0.00007328094,0.0003504806,0.00005677342,0.0001482902,0.00000377467,0.0002196964,0.00003662353,0.000008349203],"category_scores_gemma":[0.00006620726,0.00005288129,0.00005150297,0.00006282541,0.001723992,0.00007788002,0.00002951748,0.00004058083,0.00000103823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002924375,"about_ca_system_score_gemma":0.000182162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00633953,"about_ca_topic_score_gemma":0.03658956,"domain_scores_codex":[0.9992656,0.00008393938,0.0003489169,0.00007908639,0.0001013997,0.0001210205],"domain_scores_gemma":[0.9989266,0.0005189781,0.0003320755,0.0001126512,0.00008952049,0.00002015603],"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":[0.00001581977,0.00006849036,0.2100067,0.00007200885,0.00008310032,1.187094e-7,0.3118145,0.000004711522,0.000003662015,0.4754986,0.00200027,0.0004319727],"study_design_scores_gemma":[0.0006235614,0.0001949104,0.1144695,0.000271825,0.0000462442,7.843717e-7,0.3946826,0.00002561117,0.004712735,0.05500928,0.4297415,0.0002213876],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7181208,0.0009046285,0.0005610132,0.01086555,0.000154313,0.0006613267,0.00004378121,0.00001591041,0.2686727],"genre_scores_gemma":[0.9992658,0.00002846075,0.0005162061,0.00004881923,0.00004952856,0.00001631979,0.000001923283,0.000002585592,0.00007033659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4277413,"threshold_uncertainty_score":0.9809902,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312727527","doi":"10.17059/ekon.reg.2022-3-20","title":"Assessment of Export-Led Growth Hypothesis: The Case of Bangladesh, China, India and Myanmar","year":2022,"lang":"en","type":"article","venue":"Economy of Regions","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Ministry of Science and Higher Education of the Russian Federation; Ural Federal University","keywords":"Distributed lag; Granger causality; China; Economics; Causation; Destinations; Causality (physics); International trade; Export performance; International economics; Development economics; Econometrics; Geography; Political science; Tourism","authors":[{"name":"Md. Monirul Islam","is_ca":true},{"name":"Mohammad Tareque","is_ca":false},{"name":"Md. Moniruzzaman","is_ca":false},{"name":"Md. Idris Ali","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03649821348006269,"gpt":0.2119139491265872,"spread":0.1754157356465245,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005346191,0.0001281474,0.0005116282,0.0001983962,0.0001552839,0.00001359498,0.0002785289,0.00004624669,0.0003638448],"category_scores_gemma":[0.00002877682,0.0001371335,0.0001724943,0.000157383,0.0001794859,0.0001429658,0.0001502479,0.0001470757,0.000004398449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006758848,"about_ca_system_score_gemma":0.00004774873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004413243,"about_ca_topic_score_gemma":0.00002839163,"domain_scores_codex":[0.9987375,0.00002774846,0.0007680137,0.0002686723,0.00001664882,0.0001814128],"domain_scores_gemma":[0.9985291,0.0001252838,0.0008770908,0.0003915077,0.00001654764,0.00006050261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009235189,0.0001650417,0.1013559,0.00007182269,0.0001849167,0.00001947671,0.0006638105,0.0001273105,0.000006631612,0.8953584,0.001770318,0.0002671446],"study_design_scores_gemma":[0.002102708,0.0005900093,0.5620639,0.00002640729,0.00008910537,0.0006389857,0.005339169,0.002339043,0.0002949062,0.3720676,0.05383575,0.0006124843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343343,0.0008804273,0.00009646241,0.001769989,0.000138195,0.0002599822,0.0005030932,0.000008311321,0.06200924],"genre_scores_gemma":[0.9987763,0.0001630586,0.0006781488,0.0001332552,0.00002595294,0.00005378575,0.000008806865,0.00001499847,0.0001456924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5232908,"threshold_uncertainty_score":0.5592141,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312406722","doi":"10.17059/ekon.reg.2022-3-9","title":"Testing Unemployment Hysteresis with Multi-Factor Panel Unit Root: Evidence from OECD Countries","year":2022,"lang":"en","type":"article","venue":"Economy of Regions","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Unit root; Unit root test; Hysteresis; Wage; Econometrics; Panel data; Demographic economics; Cointegration; Macroeconomics; Labour economics","authors":[{"name":"Gökhan KONAT","is_ca":false},{"name":"Muhammet Fatih COŞKUN","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.282821330621561,"gpt":0.2578729024855014,"spread":0.02494842813605963,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002920933,0.0002356716,0.0005797497,0.0002425212,0.0003910286,0.00006537035,0.0004547371,0.00005167243,0.002935392],"category_scores_gemma":[0.00006065069,0.0002739517,0.0001206885,0.0001235853,0.0001393773,0.0004854343,0.0001608707,0.0002048486,0.0003853959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002038015,"about_ca_system_score_gemma":0.00006617803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004815197,"about_ca_topic_score_gemma":0.00029237,"domain_scores_codex":[0.998279,0.00003795232,0.0007376561,0.000517359,0.00003343834,0.0003945547],"domain_scores_gemma":[0.9980277,0.0004620992,0.000759192,0.0005964968,0.00001577922,0.0001387457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007735847,0.000135709,0.9768591,0.00004793505,0.0002907601,0.000009152721,0.00183425,0.0102124,0.00001280548,0.007921793,0.002262999,0.000335729],"study_design_scores_gemma":[0.003261569,0.001082449,0.711225,0.0001975644,0.00008969865,0.00003975458,0.001506659,0.03462375,0.000367615,0.03074558,0.215124,0.001736389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883864,0.001762761,0.001219385,0.002718314,0.0002087864,0.0003522816,0.001351804,0.0000574707,0.003942807],"genre_scores_gemma":[0.9962307,0.00003018138,0.002001887,0.0004950624,0.000095852,0.00009150861,0.00003398856,0.0000360283,0.0009848294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2656341,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387118398","doi":"10.17059/ekon.reg.2023-3-18","title":"Accessibility of Energy from Renewable Energy Sources for Inhabitants of Arctic Cities","year":2023,"lang":"en","type":"article","venue":"Economy of Regions","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Renewable energy; Context (archaeology); Geography; Index (typography); Work (physics); Environmental resource management; Business; Variety (cybernetics); Environmental protection; Environmental planning; Environmental science; Engineering; Computer science","authors":[{"name":"A D Stoyanov","is_ca":false},{"name":"Anastasiya Sakharova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04475922537186459,"gpt":0.3036076055814017,"spread":0.258848380209537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002256968,0.00007831681,0.0003225016,0.0001057817,0.0002425459,0.000006868659,0.0002436799,0.00006681955,0.00006380503],"category_scores_gemma":[0.0002101128,0.00007287206,0.0001429472,0.0002179898,0.0009051379,0.0001234297,0.00007809298,0.00002052184,8.082592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003155194,"about_ca_system_score_gemma":0.0001761405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07771195,"about_ca_topic_score_gemma":0.02352123,"domain_scores_codex":[0.9991478,0.00006387645,0.0003257198,0.0001699139,0.00008447837,0.0002082072],"domain_scores_gemma":[0.9986905,0.0006631989,0.0003103541,0.0001906372,0.00009146914,0.00005378637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001122597,0.000210763,0.1532828,0.0003179395,0.0007239985,0.000001040903,0.04967126,0.0002065003,0.0001813506,0.6994687,0.09199055,0.003832864],"study_design_scores_gemma":[0.0004174189,0.00008778092,0.02564604,0.0001176726,0.00006329278,1.262046e-7,0.02922546,0.00006785022,0.004862373,0.7750862,0.1642394,0.0001864023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6210505,0.001936283,0.004317031,0.02268302,0.0005308193,0.0003620568,0.0004090946,0.0001471043,0.3485641],"genre_scores_gemma":[0.9942131,0.0003221866,0.0002806748,0.00007099755,0.0001395723,0.00003139648,0.000007890683,0.000006914601,0.004927249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3731626,"threshold_uncertainty_score":0.994297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400242076","doi":"10.17059/ekon.reg.2024-2-4","title":"Multidimensional Demography: A New Approach to Assessing the Human Resources of the Russian North","year":2024,"lang":"en","type":"article","venue":"Economy of Regions","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Population; Quarter (Canadian coin); Demography; Human resources; Geography; Duration (music); Demographic economics; Affect (linguistics); Age structure; Quality (philosophy); Socioeconomics; Sociology; Political science; Economics","authors":[{"name":"В.В. Фаузер","is_ca":false},{"name":"A.V. Smirnov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0469542277897533,"gpt":0.3276854444233542,"spread":0.280731216633601,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000242472,0.00007170515,0.0001290039,0.00006901104,0.0009656576,0.0000357089,0.0002829091,0.00003261041,0.00001686342],"category_scores_gemma":[0.00003423874,0.00003948814,0.0001623623,0.0003567444,0.0007180725,0.00008284942,0.00009731481,0.0001050882,0.000006060671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002112128,"about_ca_system_score_gemma":0.0001947505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00361732,"about_ca_topic_score_gemma":0.001893609,"domain_scores_codex":[0.999305,0.00009850781,0.0001686099,0.0001514936,0.0001118539,0.0001645468],"domain_scores_gemma":[0.9994729,0.0001771902,0.00007443706,0.0001921772,0.00001191063,0.00007143094],"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":[9.704164e-7,0.0000294869,0.01945918,0.00002021871,0.0001105028,2.776789e-7,0.05768668,0.000032196,0.000003659133,0.8772516,0.04430979,0.001095447],"study_design_scores_gemma":[0.00006448367,0.000009734784,0.1283849,0.0000895093,0.00004880373,0.000001190299,0.01175938,0.00003818206,0.00001015931,0.02319823,0.8363003,0.00009504979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1569023,0.000642052,0.0005907218,0.173703,0.0001772487,0.0004020093,0.000006880394,0.00004673794,0.6675291],"genre_scores_gemma":[0.9939572,0.00001449131,0.001077045,0.0003299525,0.0002437214,0.000009419765,4.857424e-7,0.000006160471,0.004361522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8540534,"threshold_uncertainty_score":0.7427155,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393394287","doi":"10.17059/ekon.reg.2024-1-23","title":"Examining the Effects of Economic Policy Uncertainties on the Stock Market Index: Analysis by Nonlinear ARDL Method for G7 Countries","year":2024,"lang":"en","type":"article","venue":"Economy of Regions","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Index (typography); Economics; Nonlinear system; Stock market; Stock market index; Econometrics; Macroeconomics; Stock (firearms); Financial economics; Monetary economics; Computer science; Geography; Physics","authors":[{"name":"Eda FENDOĞLU","is_ca":false},{"name":"Mehmet Ali Polat","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02249378098322409,"gpt":0.268557312686826,"spread":0.2460635317036019,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001581827,0.0001907936,0.0006069037,0.0004177041,0.0001593293,0.00009929734,0.0003972104,0.00009766746,0.0001916544],"category_scores_gemma":[0.0002546515,0.000146412,0.0004110716,0.0003254272,0.0002091957,0.0001164303,0.00006541576,0.0001539487,0.000007226387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478086,"about_ca_system_score_gemma":0.0001043779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008002447,"about_ca_topic_score_gemma":0.000197501,"domain_scores_codex":[0.9985936,0.00006675137,0.000667385,0.0004031763,0.00002568901,0.0002433478],"domain_scores_gemma":[0.995195,0.003689265,0.0004311,0.000609153,0.00003095943,0.00004449012],"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":[0.00007700832,0.00005898288,0.04153414,0.0004789476,0.002602322,3.928779e-7,0.0007461801,0.000470438,0.000002322412,0.9155334,0.0365486,0.001947298],"study_design_scores_gemma":[0.0002422573,0.0001467429,0.00464922,0.00004168962,0.0001577499,7.18057e-7,0.0001993695,0.6228685,0.0000438789,0.08822889,0.283211,0.0002100208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.474918,0.01334762,0.2886512,0.04822481,0.001904585,0.004407166,0.007123122,0.0001556168,0.1612679],"genre_scores_gemma":[0.9945047,0.0003951656,0.0008354693,0.0004659886,0.0001552526,0.0001748834,0.00003589356,0.00003030928,0.003402296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8273045,"threshold_uncertainty_score":0.5970507,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400241906","doi":"10.17059/ekon.reg.2024-2-1","title":"New Russian Arctic","year":2024,"lang":"en","type":"article","venue":"Economy of Regions","topic":"Arctic and Russian Policy Studies","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":"Arctic; Regional science; Russian federation; The arctic; Theme (computing); Geography; Sustainability; Thematic map; Political science; Computer science; Ecology; Cartography; Oceanography","authors":[{"name":"Alexander Pilyasov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.030230885293836,"gpt":0.3142700269507993,"spread":0.2840391416569633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001041767,0.00005001579,0.00009636147,0.00006234975,0.0002291099,0.00002896876,0.0001080695,0.00003517354,0.0003539034],"category_scores_gemma":[0.00002969136,0.00004401664,0.00008139879,0.000129692,0.0002488231,0.0001180992,0.0000226421,0.00006022051,0.0001937451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004690137,"about_ca_system_score_gemma":0.0002928692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004214789,"about_ca_topic_score_gemma":0.001364576,"domain_scores_codex":[0.9995589,0.00002276285,0.000101929,0.0001112486,0.00004478134,0.0001603974],"domain_scores_gemma":[0.9996783,0.00009792131,0.00002449235,0.0000912981,0.000006802551,0.0001012226],"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":[4.803617e-7,0.000002976333,0.0002803927,0.00001213898,0.00002881005,0.000001571934,0.00785382,2.440508e-7,1.782749e-7,0.8869206,0.1017635,0.003135219],"study_design_scores_gemma":[0.0000255259,0.000007365194,0.0005789599,0.00003425634,0.00001142136,9.506944e-7,0.001379957,0.000003609006,0.000003027759,0.2343334,0.7635776,0.00004390378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0001261653,0.001199047,0.002027847,0.1728528,0.0002494536,0.00007117026,0.000001397967,0.00006961636,0.8234025],"genre_scores_gemma":[0.9575068,0.0002176909,0.0009247687,0.0002583293,0.0005695327,0.00000440101,4.154695e-7,0.000005797091,0.0405122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9573807,"threshold_uncertainty_score":0.6371529,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2318101822","doi":"10.17059/2011-4-2","title":"Multifunctionality of agri-food sector: theoretic conseption, practical implementation","year":2011,"lang":"en","type":"article","venue":"Economy of Regions","topic":"Agriculture Market Analysis Ukraine","field":"Agricultural and Biological 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":"Business; Food sector; Environmental planning; Environmental resource management; Natural resource economics; Environmental science; Agriculture; Economics; Geography","authors":[{"name":"Э. Н. Крылатых","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05672128210164996,"gpt":0.2531573283787805,"spread":0.1964360462771306,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002560383,0.00008711502,0.0001766148,0.00001453684,0.00006533489,0.000005718502,0.00009702999,0.00005415954,0.004204202],"category_scores_gemma":[0.00004684055,0.00003446992,0.0001462518,0.0001700641,0.00016731,0.0001223913,0.00003044287,0.00005590957,0.0000127926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001739864,"about_ca_system_score_gemma":0.00001485064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001664115,"about_ca_topic_score_gemma":0.00108367,"domain_scores_codex":[0.9992164,0.0001060088,0.0003153603,0.0001714123,0.0000768916,0.0001139219],"domain_scores_gemma":[0.9992182,0.0002211285,0.0002982123,0.00006149369,0.0001453465,0.00005556857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002151908,0.001121579,0.171358,0.00006524273,0.0006485539,0.000002156463,0.00196283,0.000002617975,0.04606094,0.7499633,0.01785624,0.01074333],"study_design_scores_gemma":[0.0003229615,0.0005382414,0.9254323,0.00001051683,0.0001523667,0.00001553357,0.003450604,0.00001853705,0.009670265,0.03748116,0.02269095,0.0002165493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729574,0.00002854071,0.0001877635,0.002198768,0.00004458832,0.0001998675,0.00004616535,0.00002485359,0.02431207],"genre_scores_gemma":[0.9991059,0.000007822707,0.0005559588,0.0000770872,0.00007128851,0.00001481293,0.00008622883,5.221753e-7,0.00008040488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7540743,"threshold_uncertainty_score":0.9967061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}