{"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":"0738ebb40014","filters":{"venue":"Journal of Korea Trade"}},"results":[{"id":"W2256291405","doi":"","title":"Derivatives Trading and Volatility in Foreign Exchange Markets","year":2008,"lang":"en","type":"article","venue":"Journal of Korea Trade","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":"Futures contract; Volatility (finance); Currency; Economics; Monetary economics; Euros; Financial economics; Volatility swap; Implied volatility","authors":[{"name":"Minho Kim","is_ca":false},{"name":"Boyeon Min","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04315868268495982,"gpt":0.2252652312882674,"spread":0.1821065486033076,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001082336,0.0002851645,0.0004806833,0.0009740824,0.0003337417,0.002940342,0.000212888,0.0007095268,0.00156102],"category_scores_gemma":[0.007823458,0.0001697879,0.0003441878,0.0012855,0.000513165,0.001691325,0.0006510228,0.0007826884,0.000176291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005859826,"about_ca_system_score_gemma":0.0003505447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003603911,"about_ca_topic_score_gemma":0.002199889,"domain_scores_codex":[0.9996724,0.0001209459,0.00002774073,0.0000390934,0.00008875367,0.0000510661],"domain_scores_gemma":[0.9965028,0.001971728,0.001024339,0.0001180826,0.0001511586,0.0002319657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007525751,0.0002621562,0.8495553,0.0001064279,0.0003784364,0.001664058,0.001363454,0.035855,0.004143482,0.06833229,0.001438176,0.03614868],"study_design_scores_gemma":[0.00008001672,0.0001835943,0.7801622,0.00007317043,0.0001726694,0.001314564,0.001098885,0.1272139,0.001671549,0.08386716,0.004073399,0.00008885758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934326,0.001548002,0.001147996,0.0003464994,0.00001535304,0.000003682902,0.00009818333,0.00001716079,0.00339045],"genre_scores_gemma":[0.9991055,0.0003512763,0.0001020587,0.00001510423,0.00002283561,0.000001681436,0.00006455608,0.000002999999,0.0003339973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003603911,"threshold_uncertainty_score":0.007165849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389323813","doi":"10.35611/jkt.2023.27.5.91","title":"Localized Knowledge Spillovers and Organizational Capabilities: Evidence from the Canadian Manufacturing Sector","year":2023,"lang":"en","type":"article","venue":"Journal of Korea Trade","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Manufacturing sector; Business; Industrial organization; Organizational learning; Knowledge management; Economic geography; Economics; Labour economics; Computer science","authors":[{"name":"Joung-Yeo No","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04922087012317173,"gpt":0.2280208922216144,"spread":0.1788000220984426,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001641106,0.0003025439,0.0003490188,0.00204565,0.002921434,0.001341124,0.0008569093,0.0004264477,0.003989939],"category_scores_gemma":[0.00712122,0.0001864569,0.000478409,0.004635976,0.001286079,0.0008275006,0.00141004,0.0005739973,0.000250002],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01343856,"about_ca_system_score_gemma":0.02484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9609974,"about_ca_topic_score_gemma":0.9796788,"domain_scores_codex":[0.9987113,0.0001850658,0.00004815029,0.0001933779,0.0005474639,0.0003147204],"domain_scores_gemma":[0.9911916,0.003156175,0.002261969,0.0004962129,0.002118438,0.0007756547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001441815,0.0001972397,0.9504403,0.0003874832,0.0001363969,0.0004666898,0.007189301,0.001536204,0.0006187844,0.001763091,0.00107775,0.03604256],"study_design_scores_gemma":[0.000008721679,0.00003638423,0.9874692,0.0001258582,0.00007164873,0.00004963905,0.008994665,0.0006900199,0.0001705972,0.0002050435,0.002159951,0.00001824425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902593,0.001307905,0.0003349431,0.0004304793,0.0000045854,0.00003390686,0.0004850257,0.000007322301,0.007136625],"genre_scores_gemma":[0.998237,0.0007330757,0.0001593232,0.00005070197,0.00000221768,0.000006614755,0.0002186513,0.000001507442,0.000590872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9865614,"threshold_uncertainty_score":0.09750402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2993486179","doi":"","title":"Reassessment of Japan's Official Development Aid to Asia Pacific Developing Nations at the Start of the 21 Century","year":2002,"lang":"en","type":"article","venue":"Journal of Korea Trade","topic":"International Development and Aid","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":"China; Developing country; Politics; Quarter (Canadian coin); Incentive; Economic growth; Political science; Development aid; International trade; Business; Development economics; Economics; Geography; Law","authors":[{"name":"Evgenii B. Kovrigin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03444677813063118,"gpt":0.28351858268078,"spread":0.2490718045501488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003910822,0.0003044458,0.0002178934,0.0009972109,0.00488842,0.008056388,0.0004711124,0.001681032,0.00183002],"category_scores_gemma":[0.006717858,0.0001956661,0.0001288204,0.001419752,0.005198763,0.003093188,0.002599275,0.003095234,0.0002259614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006995812,"about_ca_system_score_gemma":0.007413038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02675238,"about_ca_topic_score_gemma":0.04695584,"domain_scores_codex":[0.9981081,0.0004931086,0.0001544448,0.0001681446,0.0005987962,0.0004773214],"domain_scores_gemma":[0.9969176,0.0005473339,0.0003240434,0.0001813778,0.001307288,0.0007223581],"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":[0.0001840933,0.00008885658,0.01193778,0.000787196,0.00003093343,0.001571684,0.09638109,0.000421695,0.002284659,0.5232924,0.1742005,0.188819],"study_design_scores_gemma":[0.000007147165,0.00004575553,0.01224354,0.000173867,0.00001317949,0.0002079295,0.01669455,0.0001250503,0.0003829106,0.006736808,0.9633459,0.0000234139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2694685,0.07229815,0.001874891,0.3999093,0.01577394,0.00004091466,0.0002936104,0.0001166423,0.240224],"genre_scores_gemma":[0.8746063,0.03344373,0.001825378,0.03399732,0.004603693,0.00004416524,0.0001024431,0.0000726427,0.05130441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02675238,"threshold_uncertainty_score":0.05319333,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2520174775","doi":"10.1108/jkt-09-2016-014","title":"The long-term interest rates correlations: a new indicator predicting recession","year":2016,"lang":"en","type":"article","venue":"Journal of Korea Trade","topic":"Monetary Policy and Economic Impact","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","funders":"","keywords":"Recession; Econometrics; Probit model; Interest rate; Economics; Explanatory power; Term (time); Predictive power; Autoregressive conditional heteroskedasticity; Ordered probit; Statistics; Mathematics; Monetary economics; Macroeconomics","authors":[{"name":"Ki-Ryoung Lee","is_ca":false},{"name":"Chanik Jo","is_ca":true},{"name":"Hyung-Geun Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09563652912709258,"gpt":0.2690086859965547,"spread":0.1733721568694621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002091589,0.0004616804,0.0003574043,0.00211987,0.0002821301,0.001394356,0.0003420175,0.0005418228,0.001491845],"category_scores_gemma":[0.009785512,0.0002471624,0.0004739643,0.002212624,0.0004179532,0.001619187,0.0009456682,0.001479492,0.0004892563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000523785,"about_ca_system_score_gemma":0.0006954074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004979852,"about_ca_topic_score_gemma":0.004850146,"domain_scores_codex":[0.9992877,0.0001867454,0.0001177698,0.0001624775,0.0001469848,0.00009836139],"domain_scores_gemma":[0.989289,0.003030862,0.005553845,0.0005663937,0.001119045,0.0004408964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001051133,0.00005454392,0.9807913,0.00003647988,0.00008769079,0.00009005258,0.0002052254,0.004466118,0.0005194108,0.001061727,0.001021767,0.01156058],"study_design_scores_gemma":[0.00001151439,0.0001378287,0.9328468,0.00006159269,0.0001215109,0.0001855647,0.0006805925,0.06122436,0.0011787,0.001896902,0.001615026,0.0000396594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983686,0.0004987136,0.01002276,0.0004917843,0.00003131516,0.00003528523,0.001337886,0.00008909,0.003807143],"genre_scores_gemma":[0.9966698,0.0002031801,0.001588108,0.00003138021,0.00004211878,0.00001940342,0.0009398714,0.00001117438,0.0004949265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004979852,"threshold_uncertainty_score":0.01106149,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}