{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"c220115f9441","filters":{"venue":"Ekonomika"}},"results":[{"id":"W4387500771","doi":"10.15388/ekon.2023.102.2.8","title":"Europe’s Energy Crisis; Winners of the Crisis with Market Data","year":2023,"lang":"en","type":"article","venue":"Ekonomika","topic":"Market Dynamics and Volatility","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":"Economics; Structural break; Causality (physics); Quarter (Canadian coin); Work (physics); Scope (computer science); Economy; Econometrics; Geography","authors":[{"name":"Anıl Çağlar ERKAN","is_ca":false},{"name":"Samet Gürsoy","is_ca":false},{"name":"Mesut Doğan","is_ca":false},{"name":"Sevdie Alshiqi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03617556900151626,"gpt":0.2173990377148897,"spread":0.1812234687133735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008905261,0.0001441415,0.0003143244,0.0001325033,0.0000935729,0.00004621176,0.0009934743,0.0000588538,0.0004380169],"category_scores_gemma":[0.0001079804,0.0001170566,0.00007178704,0.0006899759,0.00006470802,0.0001761056,0.0005477413,0.0001069855,0.00004370306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003178629,"about_ca_system_score_gemma":0.00003748381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040473,"about_ca_topic_score_gemma":0.0002914696,"domain_scores_codex":[0.9986784,0.00003832813,0.0004672692,0.0005081771,0.0000457918,0.0002620765],"domain_scores_gemma":[0.9978284,0.00007463745,0.000299593,0.001703405,0.00003439753,0.00005954771],"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":[0.0001264271,0.00008835179,0.4167177,0.00006097712,0.0001920928,0.000005320881,0.0001795764,0.0001113984,0.000004383856,0.07577363,0.5054772,0.001262942],"study_design_scores_gemma":[0.0005540341,0.00004569197,0.2539927,0.00001389901,0.00001852318,0.000002253133,0.0002229263,0.1181599,0.00001827779,0.007729614,0.6189072,0.0003349341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6274512,0.0007744654,0.003338489,0.01477918,0.00177542,0.0004584877,0.00372213,0.0002032932,0.3474973],"genre_scores_gemma":[0.9952179,0.0002243184,0.0001779306,0.0003924698,0.00006637441,0.000009132836,0.00006502583,0.00003310692,0.003813797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3677666,"threshold_uncertainty_score":0.4795978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1896144412","doi":"10.15388/ekon.2010.0.980","title":"ASSESSMENT OF CHANGES IN THE TURNOVER OF LITHUANIAN RETAIL TRADE ENTERPRISES IN 2001–2008","year":2010,"lang":"en","type":"article","venue":"Ekonomika","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","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":"Lithuanian; Retail trade; Inventory turnover; Quarter (Canadian coin); Business; Turnover; Trade volume; External trade; International economics; Economics; International trade; Commerce; Finance; Geography","authors":[{"name":"Petras Vytautas Vengrauskas","is_ca":false},{"name":"Vytautas Mackevičius","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02159395310265676,"gpt":0.2418411899169419,"spread":0.2202472368142852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000357941,0.0001021089,0.0001984138,0.000153386,0.00001842019,0.00003594999,0.0003202968,0.00004951481,0.000155315],"category_scores_gemma":[0.00003052299,0.00007800521,0.0000479615,0.0002973696,0.00005906849,0.0002153858,0.00005648223,0.0001679686,0.000005001073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001249416,"about_ca_system_score_gemma":0.00002299546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008091125,"about_ca_topic_score_gemma":0.007273353,"domain_scores_codex":[0.9993039,0.00001607373,0.0002264555,0.0001419885,0.0001330816,0.000178552],"domain_scores_gemma":[0.9995363,0.00004872794,0.0001861782,0.0002042719,0.00001959839,0.000004935885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001848055,0.0002286594,0.9771666,0.00008507161,0.000008035946,0.000007651091,0.0001169406,0.00001288489,0.003286198,0.01790024,0.0001587935,0.001010422],"study_design_scores_gemma":[0.0004360315,0.00001195303,0.9743351,0.00005760519,0.000009346012,9.090236e-7,0.0003920691,0.0001754149,0.0003247095,0.000328118,0.02384677,0.00008201833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691323,0.00003656373,0.000006611819,0.001755636,0.0002126901,0.0001708245,0.000004432173,0.000007786083,0.02867314],"genre_scores_gemma":[0.9992668,0.0000124034,0.00004929313,0.0004325638,0.000187434,0.00001663672,0.000005966082,0.000007289872,0.00002162406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03013447,"threshold_uncertainty_score":0.4058701,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2241715428","doi":"10.15388/ekon.2012.0.910","title":"IS THERE A “LOW INTEREST RATE TRAP”?","year":2012,"lang":"en","type":"article","venue":"Ekonomika","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Global Affairs Canada","funders":"","keywords":"Trap (plumbing); Interest rate; Business; Economics; Monetary economics; Physics","authors":[{"name":"Kui‐Wai Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06560148955773831,"gpt":0.2426420747765601,"spread":0.1770405852188218,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003213275,0.0001282373,0.0002414043,0.0001205515,0.0001067606,0.00005174465,0.0001635957,0.00009246731,0.001274966],"category_scores_gemma":[0.00005328307,0.0001445248,0.000141624,0.0001449018,0.00004688713,0.000313924,0.00004121755,0.000116407,0.003393471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006930938,"about_ca_system_score_gemma":0.00001295854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009863806,"about_ca_topic_score_gemma":0.00003255064,"domain_scores_codex":[0.9990588,0.00000882054,0.0003626548,0.0002133972,0.00001229265,0.0003440146],"domain_scores_gemma":[0.9993655,0.00003862843,0.0001587496,0.0003054584,0.00001254569,0.0001191008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001557754,0.0001254676,0.5501908,0.00001097235,0.00003288713,8.168093e-7,0.001193066,0.000006780864,0.0000222511,0.4315556,0.01177221,0.005073562],"study_design_scores_gemma":[0.0002303206,0.00001539446,0.6403187,0.000005972259,0.00000283435,0.000001189747,0.0000431056,0.000179135,0.0001287489,0.005349773,0.3535694,0.0001554499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558038,0.002522101,0.001528228,0.0009190371,0.001101981,0.0001304811,0.000136636,0.0000458717,0.03781192],"genre_scores_gemma":[0.9959058,0.0001473525,0.0001770247,0.0001383819,0.0007055188,0.00002482142,0.00001351009,0.00002470393,0.002862893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4262058,"threshold_uncertainty_score":0.999638,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3213202148","doi":"10.5937/ekonomika2103019l","title":"The decline of defined benefit pension plans in developed countries","year":2021,"lang":"en","type":"article","venue":"Ekonomika","topic":"Retirement, Disability, and Employment","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":"Pension; Position (finance); Business; Pension system; Private pension; Economics; Economic policy; Finance","authors":[{"name":"Stevan Luković","is_ca":false},{"name":"Marko Savićević","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1645784528187516,"gpt":0.3927985267053619,"spread":0.2282200738866103,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008302929,0.00006212274,0.0001291898,0.00001692541,0.0002796167,0.00004774344,0.000169773,0.0000474688,0.0001187128],"category_scores_gemma":[0.000399776,0.00004848697,0.00003918844,0.000149478,0.0002085619,0.00005927838,0.00008308804,0.0000503115,0.00002282721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225501,"about_ca_system_score_gemma":0.0003292726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003104955,"about_ca_topic_score_gemma":0.1849399,"domain_scores_codex":[0.9990866,0.00009441223,0.0002695642,0.0001268941,0.0002106367,0.0002118621],"domain_scores_gemma":[0.9992745,0.0003446336,0.00006441859,0.0001746522,0.0000991675,0.00004266352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000077888,0.0001048264,0.8787859,0.0000197876,0.00001641726,0.000003476565,0.01017006,0.00003917679,0.0001027426,0.1039582,0.001402386,0.005319075],"study_design_scores_gemma":[0.0006748617,0.00003497014,0.6154719,0.00004638526,0.00001280216,4.377428e-7,0.01399807,0.00001916967,0.002044915,0.01298821,0.3545348,0.0001735044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767533,0.0002764314,0.000008543594,0.008873031,0.0002966245,0.0001444226,0.000007089409,0.0000129393,0.01362761],"genre_scores_gemma":[0.997708,0.0008617682,0.0001105649,0.0002135337,0.0000616336,0.00001201597,0.000007547352,0.000004663629,0.001020245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3531324,"threshold_uncertainty_score":0.8299329,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}