{"meta":{"query_hash":"69e371796287","filters":{"venue":"Korea International Trade Research Institute"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"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/69e371796287","api":"https://metacan.xera.ac/api/v1/cohort?venue=Korea+International+Trade+Research+Institute"},"results":[{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Financial crisis; Business cycle; Structural break; Monetary economics; Econometrics; Macroeconomics","score_opus":0.11870190449926156,"score_gpt":0.3416172284878905,"score_spread":0.22291532398862896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626418900","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":[0.99856025,0.00008398492,0.0008308127,0.000023828245,0.0000018897706,0.0000051756288,0.00019659991,0.0000059091926,0.000291475],"genre_scores_gemma":[0.9991548,0.00006910086,0.0002742323,0.0000033611789,0.0000017065951,0.0000038230164,0.00042795445,0.0000017181177,0.00006342224],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997769,0.00007224467,0.00002456506,0.00004461634,0.000034437242,0.00004721341],"domain_scores_gemma":[0.99944776,0.00018754983,0.00018928398,0.00004106938,0.000082717524,0.000051642106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065471506,0.00035993973,0.00031234292,0.0012792831,0.00011677749,0.00069873367,0.00018346468,0.00017474934,0.00030322914],"category_scores_gemma":[0.0021465437,0.000186145,0.00043462758,0.0012195986,0.0001246113,0.00050825893,0.00038793683,0.00032660668,0.00005102176],"study_design_candidate":"simulation_or_modeling","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":[0.00021844555,0.000110537825,0.9323928,0.000045252116,0.0003900874,0.00033988254,0.0002821697,0.042685606,0.0015585991,0.0015172666,0.00044525252,0.020014122],"study_design_scores_gemma":[0.000020190153,0.00015701787,0.81191003,0.000035821213,0.00014815781,0.00018088355,0.0009269946,0.18282112,0.0015042159,0.001284119,0.00097441307,0.00003692314],"about_ca_topic_score_codex":0.012811134,"about_ca_topic_score_gemma":0.010047401,"teacher_disagreement_score":0.012811134,"about_ca_system_score_codex":0.000403616,"about_ca_system_score_gemma":0.00041900954,"threshold_uncertainty_score":0.025473118},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chaps; Political science; Biology","score_opus":0.252064961799159,"score_gpt":0.5137809461031114,"score_spread":0.26171598430395243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2627048854","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":[0.9512693,0.0022268503,0.00009677895,0.0018972802,0.00005577517,0.00004619794,0.0012497979,0.000008946123,0.04314901],"genre_scores_gemma":[0.9903347,0.0011826761,0.00008196362,0.00026211553,0.000009080382,0.0000115132025,0.0004810768,0.000009341966,0.0076275095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99733436,0.0002011261,0.00007016881,0.00025457013,0.00073280366,0.0014069878],"domain_scores_gemma":[0.99515116,0.0004926681,0.00044582135,0.000087548484,0.0023072213,0.0015154991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073527044,0.00030472077,0.0005101147,0.0031746137,0.010916482,0.0044044973,0.0013712784,0.0008038936,0.009474228],"category_scores_gemma":[0.0039419117,0.00028435985,0.00037236462,0.008335632,0.0029170797,0.0013085746,0.0018713867,0.0011078729,0.00059258344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000776162,0.00031950042,0.6469471,0.00070162065,0.00016333678,0.0064597786,0.18810312,0.0005932958,0.0016173389,0.05707831,0.032746937,0.06449342],"study_design_scores_gemma":[0.000017304903,0.000073781346,0.751167,0.00025639153,0.000043158598,0.00037162853,0.20251067,0.00030687422,0.00018128648,0.0002832704,0.04472594,0.00006268457],"about_ca_topic_score_codex":0.99526054,"about_ca_topic_score_gemma":0.9986712,"teacher_disagreement_score":0.9313785,"about_ca_system_score_codex":0.06862153,"about_ca_system_score_gemma":0.049402066,"threshold_uncertainty_score":0.49788636},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; International trade; International economics; Economics","score_opus":0.11390821231050952,"score_gpt":0.3855841734920628,"score_spread":0.2716759611815533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781616120","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":[0.9865155,0.0008583186,0.00028430516,0.00009698103,0.000011874564,0.000012323852,0.0019369622,0.000012417442,0.010271224],"genre_scores_gemma":[0.99637294,0.00073325896,0.00018443588,0.000023090428,0.0000075186313,0.0000058009173,0.0021870525,0.0000051275592,0.00048076423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994272,0.000100971425,0.00008123533,0.000075753596,0.00016070566,0.00015418476],"domain_scores_gemma":[0.9971469,0.00052462815,0.0011672082,0.00022643447,0.0007781299,0.00015670841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008765077,0.00021385451,0.0002172536,0.0042541386,0.00031182342,0.0010184495,0.00013602505,0.00011753952,0.0014841768],"category_scores_gemma":[0.0034861963,0.00008819075,0.00044724316,0.006066946,0.00029192114,0.0007369126,0.0007243873,0.00023740019,0.00015661037],"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":[0.000095054325,0.000025224268,0.96921825,0.00008136439,0.00016319151,0.00052857696,0.00056832226,0.0023043263,0.00029790023,0.0032425027,0.0011224678,0.022352874],"study_design_scores_gemma":[0.000002451596,0.000015075718,0.9913993,0.00003886316,0.000041674924,0.00019476793,0.001691048,0.0005328393,0.00026517935,0.00021926059,0.0055879094,0.000011692218],"about_ca_topic_score_codex":0.026491286,"about_ca_topic_score_gemma":0.026853932,"teacher_disagreement_score":0.026491286,"about_ca_system_score_codex":0.0011519613,"about_ca_system_score_gemma":0.00087185274,"threshold_uncertainty_score":0.052674174},"labels":[],"label_agreement":null},{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.24957476932743955,"score_gpt":0.32549020363295667,"score_spread":0.07591543430551712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791324140","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":[0.54939073,0.0031203753,0.25192642,0.0075433627,0.00034221305,0.0004390816,0.0032724747,0.00029544797,0.18366998],"genre_scores_gemma":[0.98078406,0.0008567048,0.008803684,0.0002843359,0.000053630698,0.00014162819,0.0003819362,0.000053973192,0.008640028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913687,0.00039513718,0.000024650473,0.00010647974,0.00016075169,0.00017607569],"domain_scores_gemma":[0.99732107,0.0020125187,0.00027651677,0.000093994895,0.00016189489,0.0001339592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001812424,0.00091090926,0.0010702794,0.0019153431,0.00084480457,0.0036684007,0.0014306075,0.0023295605,0.0076597],"category_scores_gemma":[0.007549767,0.0006989461,0.0014159887,0.0018905426,0.0014823201,0.0034992509,0.0015575064,0.0028615692,0.00024886662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009823763,0.00007296544,0.003360823,0.00007215169,0.00008523174,0.00037982804,0.000052799944,0.84718055,0.00026193078,0.1378489,0.0016518752,0.008934676],"study_design_scores_gemma":[0.000046833145,0.0001025185,0.0043724687,0.00007666719,0.00010054883,0.00018201157,0.0003314756,0.8698941,0.0004014552,0.11785969,0.0065573957,0.00007484879],"about_ca_topic_score_codex":0.025154572,"about_ca_topic_score_gemma":0.016844109,"teacher_disagreement_score":0.025154572,"about_ca_system_score_codex":0.004272543,"about_ca_system_score_gemma":0.0023382707,"threshold_uncertainty_score":0.050016284},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Monetary economics; Financial economics; Econometrics; Business","score_opus":0.05234341577094379,"score_gpt":0.3338487060863519,"score_spread":0.2815052903154081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010074932","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":[0.9974401,0.00018349278,0.00063582486,0.000049868544,0.000010241084,0.000010607667,0.00022477547,0.000011506753,0.0014335429],"genre_scores_gemma":[0.99880946,0.00009028809,0.0001478875,0.000011612025,0.000008340633,0.0000044832177,0.00024793675,0.0000037582925,0.0006762679],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991184,0.00018441133,0.00008694242,0.00017047697,0.00033853736,0.00010124787],"domain_scores_gemma":[0.99124724,0.0039018323,0.003356902,0.0004788405,0.000708487,0.0003067124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020420349,0.00050249335,0.00043834135,0.0011517429,0.00026760373,0.0016014766,0.00036688673,0.0004940689,0.0033026452],"category_scores_gemma":[0.007991774,0.0001164196,0.0005551478,0.0010503983,0.00038649683,0.0013682761,0.0006415154,0.00074125617,0.000512518],"study_design_candidate":"simulation_or_modeling","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":[0.0017725534,0.00045371352,0.9182178,0.0001917482,0.00050593755,0.00073981984,0.0003103057,0.022306317,0.0078068106,0.004969929,0.000843549,0.0418815],"study_design_scores_gemma":[0.000030987943,0.0010198032,0.91244185,0.00006000534,0.00026167993,0.00035232402,0.0005808417,0.07239277,0.007867416,0.003129521,0.0018000692,0.00006279912],"about_ca_topic_score_codex":0.0020054623,"about_ca_topic_score_gemma":0.002048823,"teacher_disagreement_score":0.0033026452,"about_ca_system_score_codex":0.0008528897,"about_ca_system_score_gemma":0.00030320574,"threshold_uncertainty_score":0.011048436},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.13221213467967077,"score_gpt":0.32941981908761836,"score_spread":0.1972076844079476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086779164","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":[0.9962436,0.00040256075,0.00014834855,0.00012679645,0.000010915563,0.0000056065765,0.0018442171,0.000008560184,0.0012093973],"genre_scores_gemma":[0.9960461,0.00028243795,0.00006250799,0.000027007445,0.000015825792,0.0000042963266,0.002675518,0.000002644193,0.0008836036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971503,0.000029704572,0.000035102596,0.00007110591,0.000044726385,0.00010426287],"domain_scores_gemma":[0.9981256,0.00030931056,0.0009984649,0.00009295818,0.00025007868,0.00022360966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060234434,0.00021517293,0.0002336882,0.00079536636,0.00020838121,0.0006461226,0.00021734768,0.00021421185,0.0030210628],"category_scores_gemma":[0.0016582286,0.00009110866,0.00039668824,0.0011461366,0.00018663568,0.00049914164,0.000641697,0.0005061957,0.0004763642],"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":[0.000121521436,0.00006169276,0.9887637,0.000041354026,0.000067336696,0.0002088116,0.00012222042,0.0010667805,0.0003878053,0.00019819874,0.0004909697,0.008469636],"study_design_scores_gemma":[0.0000014090607,0.00003848684,0.99838233,0.000010673424,0.000017834658,0.000030188823,0.00021450108,0.00044777166,0.00011055384,0.00003514662,0.00070841785,0.000002755441],"about_ca_topic_score_codex":0.012491829,"about_ca_topic_score_gemma":0.014223857,"teacher_disagreement_score":0.012491829,"about_ca_system_score_codex":0.00039543267,"about_ca_system_score_gemma":0.00033741267,"threshold_uncertainty_score":0.02483821},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"International trade; Business","score_opus":0.13066315665452527,"score_gpt":0.32146393693815295,"score_spread":0.19080078028362768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139194235","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":[0.9792554,0.0008861843,0.0009740658,0.00078696694,0.00008075301,0.000046208417,0.007879524,0.000054352502,0.010036495],"genre_scores_gemma":[0.98796904,0.00049686845,0.0003158411,0.00008350787,0.000016227566,0.000016289123,0.0059972056,0.000014440339,0.0050904537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944633,0.00004103894,0.00002603926,0.00010664444,0.00018438778,0.00019540437],"domain_scores_gemma":[0.9982028,0.00028005004,0.0002536804,0.00006142831,0.0010061204,0.00019586027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000820306,0.0003636743,0.0002659431,0.00088590867,0.0008610287,0.0016771131,0.00045776673,0.00038197098,0.004555586],"category_scores_gemma":[0.0024897973,0.00014935498,0.0008369655,0.0014876478,0.00036813944,0.0005723215,0.00063310156,0.0011292225,0.00035867046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005873702,0.00011339994,0.92220336,0.00029965278,0.00052388315,0.0013061411,0.0008409365,0.028741783,0.0013271939,0.0050194464,0.011360897,0.027675921],"study_design_scores_gemma":[0.0000134961,0.00010197019,0.9586983,0.000066277884,0.0002523743,0.00014005732,0.002569091,0.027810927,0.0009854921,0.00042063845,0.008883674,0.000057771664],"about_ca_topic_score_codex":0.87988085,"about_ca_topic_score_gemma":0.87456125,"teacher_disagreement_score":0.120119154,"about_ca_system_score_codex":0.008251192,"about_ca_system_score_gemma":0.009998413,"threshold_uncertainty_score":0.24165308},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.37700605509877694,"score_gpt":0.48330748233364984,"score_spread":0.1063014272348729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315487667","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":[0.9918658,0.0009904228,0.00019858748,0.00046955227,0.000018405783,0.000015349568,0.0009470448,0.000007684153,0.005487165],"genre_scores_gemma":[0.9977556,0.0005651168,0.00008525468,0.00007739819,0.000015893222,0.0000056709787,0.00079281215,0.000003049412,0.0006992954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996093,0.00009956199,0.00003194519,0.00006573539,0.00008424539,0.00010928146],"domain_scores_gemma":[0.99718225,0.0009358145,0.001184785,0.00009685541,0.00040262568,0.00019765248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094499445,0.00028864248,0.00023466101,0.0013463271,0.00024998383,0.0010285072,0.0001625841,0.00023029056,0.0033288542],"category_scores_gemma":[0.0023513886,0.000100056466,0.0006855786,0.00165231,0.0003351494,0.0007321509,0.0007660219,0.0004921443,0.00023877904],"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":[0.0001813029,0.00010692862,0.9815703,0.00017422347,0.0002711409,0.0010725406,0.00031673236,0.0026840444,0.00044168613,0.00154705,0.0012951698,0.010338839],"study_design_scores_gemma":[0.000011426848,0.00013605347,0.99079716,0.000064844644,0.00014127813,0.00019573471,0.0028591065,0.0017088094,0.00052910455,0.00026574644,0.0032789402,0.000011696166],"about_ca_topic_score_codex":0.012014061,"about_ca_topic_score_gemma":0.008603082,"teacher_disagreement_score":0.012014061,"about_ca_system_score_codex":0.00070516125,"about_ca_system_score_gemma":0.0006628733,"threshold_uncertainty_score":0.02388829},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fiscal sustainability; Economics; Dependency ratio; Redistribution (election); Population ageing; Fiscal policy; Population; Debt; Demographic economics; Macroeconomics; Demography","score_opus":0.17108879999580023,"score_gpt":0.42580097928999894,"score_spread":0.2547121792941987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387819725","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":[0.9457335,0.00141785,0.03834798,0.0022746334,0.0001901509,0.00011786668,0.0010491204,0.00015547276,0.010713314],"genre_scores_gemma":[0.9918425,0.0004981191,0.002684766,0.00012525584,0.000043233504,0.000034930614,0.00033970876,0.00002423129,0.0044071916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988649,0.00046789198,0.00006999049,0.00023791038,0.000101929036,0.00025743217],"domain_scores_gemma":[0.9931685,0.004452388,0.001234347,0.00023952858,0.00066633313,0.00023886317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038413047,0.00060372235,0.00072404736,0.0008116462,0.00048446312,0.0023756193,0.0008673172,0.00095108605,0.005435397],"category_scores_gemma":[0.010744362,0.00029155373,0.0012322166,0.0009205925,0.0005198952,0.0014197303,0.0009472598,0.0015512081,0.00059984735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006748074,0.00076630537,0.3619692,0.0003834261,0.00071169157,0.0014719075,0.0009529037,0.52105737,0.0015855411,0.051455162,0.0072888304,0.051682826],"study_design_scores_gemma":[0.00009901583,0.00061100133,0.067200445,0.00013339065,0.00064753776,0.00028012283,0.0016518235,0.9060143,0.0012764151,0.014404007,0.0076073464,0.000074565214],"about_ca_topic_score_codex":0.027508264,"about_ca_topic_score_gemma":0.01319152,"teacher_disagreement_score":0.027508264,"about_ca_system_score_codex":0.001775766,"about_ca_system_score_gemma":0.001878799,"threshold_uncertainty_score":0.054696262},"labels":[],"label_agreement":null}]}