{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":9,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":9,"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":"69e371796287","filters":{"venue":"Korea International Trade Research Institute"}},"results":[{"id":"W2791324140","doi":"10.16980/jitc.14.1.201802.23","title":"The Opportunity Cost of the U.S. Withdrawal from the TPP: A CGE Approach","year":2018,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"Global trade and economics","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":"Computable general equilibrium; Welfare; General partnership; Economics; Opportunity cost; International economics; International trade; General equilibrium theory; Macroeconomics; Finance; Microeconomics","authors":[{"name":"Jong-Hwan Ko","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2495747693274395,"gpt":0.3254902036329567,"spread":0.07591543430551712,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001825716,0.0001302618,0.0001892344,0.00007105635,0.0007118401,0.000224829,0.002113188,0.00008976032,0.0001600186],"category_scores_gemma":[0.0008089055,0.00007833998,0.000158389,0.000303504,0.001673113,0.0003041813,0.0003250094,0.0005091124,0.0001675121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002003847,"about_ca_system_score_gemma":0.0001569281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002646703,"about_ca_topic_score_gemma":0.0007663442,"domain_scores_codex":[0.9984424,0.00006938849,0.0005410595,0.0003381638,0.0002166475,0.0003923975],"domain_scores_gemma":[0.998582,0.0003091241,0.000229694,0.0006894802,0.00007125087,0.0001184524],"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":[0.00005655904,0.000131534,0.0291901,0.000004347301,0.0002072062,0.000001616787,0.0004686897,0.00006143058,0.00002327402,0.9463906,0.02174442,0.001720227],"study_design_scores_gemma":[0.000420181,0.00003898269,0.132783,0.0000191546,0.000004014158,0.00001032903,0.0002551143,0.003343178,0.0002209167,0.04916253,0.8136233,0.0001192894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2584592,0.001128893,0.0009950752,0.06840796,0.005141639,0.001404316,0.002643844,0.00004458844,0.6617746],"genre_scores_gemma":[0.9973968,0.0004253079,0.000185074,0.0004781579,0.0007906569,0.00005880713,0.00005475952,0.00001411876,0.0005963404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8972281,"threshold_uncertainty_score":0.6164653,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3086779164","doi":"10.16980/jitc.16.4.202008.245","title":"Time-Varying Effects of Export on Employment Since 1990","year":2020,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"Firm Innovation and Growth","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":"Quarter (Canadian coin); Diversification (marketing strategy); Economics; Export performance; Job creation; Ordinary least squares; Sample (material); Labour economics; Demographic economics; Econometrics; International economics; Business","authors":[{"name":"Jong-Ha Lee","is_ca":false},{"name":"Jinyoung Hwang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1322121346796708,"gpt":0.3294198190876184,"spread":0.1972076844079476,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004762644,0.0001074163,0.0002150109,0.0003454364,0.00007640572,0.00004679985,0.0004356011,0.00006144914,0.0002291417],"category_scores_gemma":[0.0007246438,0.0001185586,0.00008119752,0.0004646602,0.0001752686,0.0002696618,0.00008848248,0.0002950841,0.0006803747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335824,"about_ca_system_score_gemma":0.00004476819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006416425,"about_ca_topic_score_gemma":0.000001089525,"domain_scores_codex":[0.9986656,0.00002019903,0.0004772965,0.0003435197,0.0002595867,0.0002337961],"domain_scores_gemma":[0.9993866,0.0001364511,0.0001403577,0.0001762467,0.00004514007,0.0001151715],"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":[0.00007313048,0.0002181412,0.004194107,0.00006744113,0.0001092747,0.00004587425,0.0004116236,0.0001657347,0.002030277,0.9833438,0.008041056,0.001299555],"study_design_scores_gemma":[0.00293768,0.0008727774,0.06198052,0.0002827547,0.000004715158,0.00001152627,0.00002884425,0.01410766,0.03667115,0.01560931,0.8669446,0.0005484842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4944652,0.0005595404,0.002566026,0.08990655,0.002469068,0.001417945,0.000471796,0.0001920278,0.4079518],"genre_scores_gemma":[0.9977032,0.00007507274,0.0004419533,0.001013756,0.0002502018,0.00003406623,0.00007639583,0.00001640965,0.000388954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9677345,"threshold_uncertainty_score":0.8745068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3010074932","doi":"10.16980/jitc.15.6.201912.49","title":"Gold and Bitcoin Hedging against 10 Exchange Returns","year":2019,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"Blockchain Technology Applications and Security","field":"Computer Science","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":"Economics; Monetary economics; Financial economics; Econometrics; Business","authors":[{"name":"Yong-Il Hwang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05234341577094379,"gpt":0.3338487060863519,"spread":0.2815052903154081,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009225591,0.0001230564,0.0001327449,0.0004571698,0.0001486973,0.0001949553,0.001462188,0.0001374889,0.00005994228],"category_scores_gemma":[0.0001262827,0.0001164879,0.000044845,0.0005632929,0.0002898592,0.0005644837,0.0006613397,0.0005429141,0.0001685904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113681,"about_ca_system_score_gemma":0.00008382114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005231706,"about_ca_topic_score_gemma":0.00004417339,"domain_scores_codex":[0.9982268,0.00005946621,0.0002030161,0.0005257254,0.0006065802,0.0003784279],"domain_scores_gemma":[0.9990061,0.000137639,0.0000484928,0.0005995851,0.00008683071,0.0001213478],"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":[0.000007867486,0.00009957474,0.001000993,0.00002934461,0.00004206294,0.00003625858,0.0004114399,0.00001859252,0.003299616,0.940766,0.00624571,0.04804256],"study_design_scores_gemma":[0.0008417128,0.000102808,0.007130824,0.0001001603,0.000002380459,0.0001115671,0.00009253404,0.06516445,0.003630171,0.02599327,0.8964977,0.0003324255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6528152,0.001278486,0.02195286,0.1178318,0.001917988,0.001673627,0.00006847542,0.0009817214,0.2014799],"genre_scores_gemma":[0.9920038,0.0004059914,0.005572272,0.0002663657,0.0001266424,0.00008033858,0.00002265073,0.00000941077,0.001512518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9147727,"threshold_uncertainty_score":0.475024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3139194235","doi":"10.16980/jitc.17.1.202102.423","title":"The Analysis of Impact of Changes in Canadian Trade Environment on Korean Trade after Joining CPTPP","year":2021,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"Global trade and economics","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":"International trade; Business","authors":[{"name":"Jong-Kwon Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1306631566545253,"gpt":0.3214639369381529,"spread":0.1908007802836277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001145509,0.0001550302,0.0004322645,0.001159549,0.00008962785,0.00007214578,0.0004955203,0.0001100965,0.0003865877],"category_scores_gemma":[0.0002097843,0.000145988,0.0003302844,0.0007489718,0.0002498923,0.0001784268,0.00005388177,0.0003439265,0.00002135259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063184,"about_ca_system_score_gemma":0.000212524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04800733,"about_ca_topic_score_gemma":0.2012356,"domain_scores_codex":[0.9981332,0.00005163958,0.0006671193,0.0003984882,0.0001836695,0.0005658647],"domain_scores_gemma":[0.9990073,0.0001860577,0.0001745763,0.0003946771,0.00001039636,0.0002269965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002051808,0.000538112,0.5810783,0.00003432074,0.003585795,0.0001896213,0.001650114,0.02463178,0.0003024583,0.382013,0.001042245,0.004729097],"study_design_scores_gemma":[0.0004286453,0.000101336,0.937077,0.00003730525,0.00002134462,0.000006009778,0.0001340119,0.005335249,0.0006204845,0.00218479,0.05389214,0.0001616334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489836,0.001052111,0.00001585783,0.01929601,0.000367174,0.0002401674,0.002354394,0.00000669002,0.02768401],"genre_scores_gemma":[0.9973178,0.002145814,0.0000768409,0.0001160401,0.00007606078,0.00003591095,0.0001465206,0.00001424444,0.00007078968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3798282,"threshold_uncertainty_score":0.9583321,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2781616120","doi":"10.16980/jitc.13.6.201712.497","title":"A Comparative Analysis of Customs Duties Burden in Major OECD Countries","year":2017,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"International Arbitration and Investment Law","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":"Business; International trade; International economics; Economics","authors":[{"name":"Seuk-Do Kie","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1139082123105095,"gpt":0.3855841734920628,"spread":0.2716759611815533,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008580089,0.0001468024,0.0003172608,0.001613785,0.0003753184,0.0006995568,0.001084459,0.00006413877,0.00106227],"category_scores_gemma":[0.000275084,0.0001337022,0.0001444946,0.0003443793,0.0008370358,0.002706985,0.000252794,0.0002626595,0.0002038564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001439655,"about_ca_system_score_gemma":0.00008194937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005653093,"about_ca_topic_score_gemma":0.00401657,"domain_scores_codex":[0.9977924,0.00002394409,0.000434281,0.0002906516,0.001182053,0.0002767221],"domain_scores_gemma":[0.9989675,0.00009259508,0.0002915769,0.0003249753,0.0003017857,0.00002155951],"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":[0.0001160787,0.0001169865,0.0166282,0.00002835643,0.0006367736,0.00002449718,0.0002479201,0.0006950414,0.0004310702,0.9788145,0.002165843,0.0000947742],"study_design_scores_gemma":[0.001621212,0.00002610974,0.2576983,0.0001384537,0.000152321,0.000002559267,0.0005442298,0.05503451,0.001579783,0.01544237,0.6674259,0.0003342402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2685309,0.00004327117,0.00005208369,0.01457364,0.0007771196,0.0003511607,0.00007233101,0.00003601023,0.7155635],"genre_scores_gemma":[0.9974822,0.00003696863,0.0001054799,0.0007928041,0.0006167691,0.00004991594,0.0002133251,0.000007448237,0.0006951119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9633721,"threshold_uncertainty_score":0.9998509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2627048854","doi":"10.16980/jitc.13.2.201704.395","title":"A Comparative Study between the CHAPS of England and The LVTS of Canada","year":2017,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"Higher Education Learning Practices","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":"Chaps; Political science; Biology","authors":[{"name":"Byeong-Ryul Lee","is_ca":false},{"name":"Hae-Bum Choi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.252064961799159,"gpt":0.5137809461031114,"spread":0.2617159843039524,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004598897,0.00004927502,0.000136431,0.00004255174,0.001318406,0.0001498053,0.001053352,0.00002190792,0.00003664624],"category_scores_gemma":[0.003432843,0.00002876505,0.00001996347,0.00009674874,0.002122344,0.0003354231,0.0001171374,0.0003008856,0.000001048275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007817653,"about_ca_system_score_gemma":0.001130094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6597364,"about_ca_topic_score_gemma":0.6145138,"domain_scores_codex":[0.9975451,0.0007932814,0.0001815694,0.0001199293,0.001206834,0.0001533499],"domain_scores_gemma":[0.9970629,0.002198066,0.000235038,0.0002465532,0.000196141,0.00006133317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001731938,0.000209922,0.4723186,0.00001274631,0.00049289,0.000005900876,0.3040517,0.00004218792,0.00003153721,0.2181406,0.002338368,0.002182304],"study_design_scores_gemma":[0.0007778499,0.00003392568,0.7105452,0.00002024602,0.0000112881,7.100123e-7,0.01349884,0.00001974655,0.00008464369,0.0007328686,0.2742367,0.00003791825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897858,0.0000475322,0.000002855633,0.06194114,0.000351918,0.0004166555,0.00001541617,0.000003024669,0.04743563],"genre_scores_gemma":[0.9990012,0.0000463122,0.00002171951,0.00001322679,0.0002857223,0.00002698469,0.000001857487,0.000002381583,0.0006005962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2905529,"threshold_uncertainty_score":0.9999818,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315487667","doi":"10.16980/jitc.18.6.202212.175","title":"A Study on the Impact of COVID-19 on Korea’s Exports in the Pharmaceutical Industry: Comparison between OECD and Non-OECD Countries","year":2022,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"COVID-19 Pandemic Impacts","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":"Coronavirus disease 2019 (COVID-19); Estimation; Quarter (Canadian coin); Pandemic; Linkage (software); Economics; Pharmaceutical industry; Panel data; 2019-20 coronavirus outbreak; International economics; International trade; Econometrics; Geography; Infectious disease (medical specialty)","authors":[{"name":"Hyo‐Jin Kim","is_ca":false},{"name":"Kieun Shim","is_ca":false},{"name":"Kyong-hwa Jeong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3770060550987769,"gpt":0.4833074823336498,"spread":0.1063014272348729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00635029,0.0001917553,0.0003811577,0.0007474457,0.0003965917,0.0001433705,0.001040249,0.00009889212,0.0005691908],"category_scores_gemma":[0.001247171,0.0001395667,0.0001023289,0.0003711162,0.0004524791,0.0001983134,0.0003009894,0.001977277,0.00004084721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132665,"about_ca_system_score_gemma":0.0004809622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00350957,"about_ca_topic_score_gemma":0.00008948734,"domain_scores_codex":[0.9974603,0.0003150968,0.0006773359,0.0004494096,0.0006504938,0.00044736],"domain_scores_gemma":[0.9970263,0.002106491,0.0002309663,0.0004224705,0.00002073639,0.0001930019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003115823,0.0009154974,0.9200727,0.0000159409,0.0002295881,0.00009648985,0.009367025,0.003231141,0.000008496684,0.05511775,0.01032429,0.0003095002],"study_design_scores_gemma":[0.002340031,0.001248533,0.8967289,0.00002056516,0.000008673741,0.00002505419,0.003663178,0.001791919,0.00005144367,0.005714626,0.08818246,0.0002245985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637362,0.00009024134,0.00002602414,0.02659107,0.0002037017,0.001114007,0.0008226089,0.00001325171,0.007402851],"genre_scores_gemma":[0.9984667,0.00005383079,0.000004026061,0.0009810544,0.0001676161,0.0002123087,0.00005279191,0.00001648021,0.00004524878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07785816,"threshold_uncertainty_score":0.8590394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387819725","doi":"10.16980/jitc.19.4.202308.1","title":"A Study on How an Aging Population Affects the Effectiveness of Fiscal Policy Using an ARDL Model","year":2023,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"Energy, Environment, and Transportation Policies","field":"Energy","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":"Fiscal sustainability; Economics; Dependency ratio; Redistribution (election); Population ageing; Fiscal policy; Population; Debt; Demographic economics; Macroeconomics; Demography","authors":[{"name":"Jiyoung Jang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1710887999958002,"gpt":0.4258009792899989,"spread":0.2547121792941987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001684583,0.0001594818,0.000169977,0.0006555144,0.0002842746,0.00009329171,0.0004551839,0.00006686882,0.000004544374],"category_scores_gemma":[0.0002033404,0.0001266272,0.00007608099,0.0005933996,0.00021229,0.0006375777,0.00004601441,0.0002717495,0.000004452951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314045,"about_ca_system_score_gemma":0.00005669805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0060979,"about_ca_topic_score_gemma":0.001641639,"domain_scores_codex":[0.9972708,0.0006901314,0.0001910304,0.0003467486,0.001159582,0.0003417225],"domain_scores_gemma":[0.9990743,0.0003440122,0.0000681911,0.0003695671,0.00002817753,0.0001157912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001075417,0.000432797,0.01545098,0.00002338379,0.00009707249,0.00002393749,0.001256878,0.7155356,0.008212606,0.2581695,0.000006966002,0.000682694],"study_design_scores_gemma":[0.0008892473,0.0002717112,0.8823041,0.00008997149,0.00001604725,0.000005407558,0.0007427764,0.1020986,0.005691268,0.007517507,0.0002150843,0.0001582868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954416,0.000003971974,0.0004910761,0.0009815836,0.0001791646,0.0003794676,0.00004929399,0.00008016914,0.002393686],"genre_scores_gemma":[0.999025,0.00002201337,0.00007786759,0.00003356715,0.0002950987,0.00008643571,0.0003423161,0.00003331066,0.00008437876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8668531,"threshold_uncertainty_score":0.9218242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2626418900","doi":"10.16980/jitc.12.4.201608.333","title":"Estimation of Volatility in International Business Cycles in Korea and Selected Developed Countries under the Financial Crises","year":2016,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"Financial Risk and Volatility Modeling","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":"Volatility (finance); Economics; Financial crisis; Business cycle; Structural break; Monetary economics; Econometrics; Macroeconomics","authors":[{"name":"Kyung-Hee Lee","is_ca":false},{"name":"Kyung-Soo Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1187019044992616,"gpt":0.3416172284878905,"spread":0.222915323988629,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157879,0.0001239821,0.0002415835,0.0005945837,0.00009415613,0.0000682926,0.0004227642,0.0001108348,0.00005587002],"category_scores_gemma":[0.00272401,0.00009734331,0.0000320007,0.0006353098,0.0004214594,0.0007586189,0.0001201519,0.0002376041,0.000009523917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003284978,"about_ca_system_score_gemma":0.0002384748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582299,"about_ca_topic_score_gemma":0.003816993,"domain_scores_codex":[0.9983757,0.00004933247,0.0007226402,0.0003525129,0.0002272331,0.0002726291],"domain_scores_gemma":[0.9991139,0.0003615313,0.0001488625,0.0001656867,0.0001707569,0.00003923368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002903585,0.000195601,0.524604,0.00004431733,0.00003464909,0.000007877266,0.001006608,0.002190365,0.000149335,0.4547608,0.0001242888,0.01659191],"study_design_scores_gemma":[0.0007615039,0.00001398192,0.8962774,0.0001264776,9.613598e-7,0.000003418326,0.00004479189,0.04522536,0.0001758003,0.05413051,0.003129032,0.0001108177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703037,0.000276669,0.01685785,0.01020746,0.0004332848,0.000262553,0.0001804433,0.000013538,0.001464509],"genre_scores_gemma":[0.9981515,0.0009320237,0.0006526632,0.00004268852,0.00008530023,0.00004318057,0.00003393721,0.000009692634,0.00004895701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4006302,"threshold_uncertainty_score":0.3969545,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}