{"meta":{"query_hash":"0ba019c510ce","filters":{"venue":"Ecosains Jurnal Ilmiah Ekonomi dan Pembangunan"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/0ba019c510ce","api":"https://metacan.xera.ac/api/v1/cohort?venue=Ecosains+Jurnal+Ilmiah+Ekonomi+dan+Pembangunan"},"results":[{"id":"W2924938107","doi":"10.24036/ecosains.11066657.00","title":"ANALISIS PENGARUH VARIABEL MAKROEKONOMI DAN COUNTRY RISK TERHADAP INVESTASI PORTOFOLIO ASING DI INDONESIA","year":2018,"lang":"en","type":"article","venue":"Ecosains Jurnal Ilmiah Ekonomi dan Pembangunan","topic":"Economic Growth and Fiscal Policies","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":"Balance of payments; Inflation (cosmology); Depreciation (economics); Shock (circulatory); Exchange rate; Interest rate; Quarter (Canadian coin); Payment; Foreign exchange; Monetary economics; Business; Productivity; Economics; Financial system; Finance; Macroeconomics; Economic growth","score_opus":0.02002347747377143,"score_gpt":0.22031074768897924,"score_spread":0.2002872702152078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924938107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89208686,0.0007966912,0.0006200406,0.0007785531,0.0015775713,0.00045980947,0.0007561424,0.00019009998,0.10273424],"genre_scores_gemma":[0.9945214,0.0003312065,0.00022145684,0.0021120724,0.0021531037,0.000060015715,0.00021656655,0.00018850472,0.00019572106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945593,0.00013017934,0.0022016945,0.0014003102,0.00011795844,0.0015905404],"domain_scores_gemma":[0.9957135,0.00022661804,0.0017732142,0.0013118022,0.00014491544,0.0008299916],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013661318,0.0008507638,0.001413976,0.00099288,0.001069322,0.0006902939,0.0011823428,0.00051113096,0.00012687291],"category_scores_gemma":[0.00044186643,0.0010043407,0.00046865796,0.0008126332,0.00068303826,0.0011782319,0.00039736019,0.0009934636,0.0003740761],"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":[0.000095037336,0.00019161453,0.8765228,0.000039541334,0.000283296,0.000026737329,0.00090840354,0.000048835107,0.000045537607,0.115919046,0.0050901813,0.0008289724],"study_design_scores_gemma":[0.0020556971,0.00033635378,0.9038553,0.00005493073,0.00008595212,0.000086312095,0.0008246498,0.0029110536,0.00033841335,0.0024464035,0.0856892,0.0013156987],"about_ca_topic_score_codex":0.0020144489,"about_ca_topic_score_gemma":0.00097127527,"teacher_disagreement_score":0.11347264,"about_ca_system_score_codex":0.0008044121,"about_ca_system_score_gemma":0.00027064022,"threshold_uncertainty_score":0.9992407},"labels":[],"label_agreement":null},{"id":"W2928287657","doi":"10.24036/ecosains.11065357.00","title":"FAKTOR-FAKTOR YANG MEMPENGARUHI INFLASI DI INDONESIA","year":2016,"lang":"en","type":"article","venue":"Ecosains Jurnal Ilmiah Ekonomi dan Pembangunan","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":34,"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":"Heteroscedasticity; Exchange rate; Inflation (cosmology); Economics; Econometrics; Money supply; Interest rate; Quarter (Canadian coin); Autocorrelation; Multicollinearity; Monetary economics; Statistics; Linear regression; Mathematics; Geography","score_opus":0.021175368526031718,"score_gpt":0.20757987889175855,"score_spread":0.18640451036572683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2928287657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.921886,0.00088180957,0.0005063821,0.002837501,0.0014198889,0.00037528263,0.0004510778,0.00018554674,0.071456484],"genre_scores_gemma":[0.9954032,0.00027893385,0.00007398617,0.0008903154,0.001485294,0.00007865203,0.000032022104,0.00013425319,0.0016233687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960068,0.000059214497,0.0016165244,0.0010065476,0.00008327365,0.0012276346],"domain_scores_gemma":[0.99721605,0.00021831454,0.00089695846,0.000968581,0.000061475715,0.00063859764],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006964789,0.00061554177,0.0010457145,0.0006994262,0.00040640452,0.00026697564,0.0009786291,0.00037203793,0.00020979739],"category_scores_gemma":[0.00023652027,0.0005630639,0.000550855,0.00030850765,0.0002868255,0.0010368669,0.0002922081,0.00043796876,0.002166637],"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":[0.00008353777,0.00013466895,0.78658754,0.000035302517,0.00016747879,0.000023223289,0.0005447566,0.000014116907,0.000465629,0.2026588,0.0046606567,0.0046242867],"study_design_scores_gemma":[0.0027931775,0.0002188706,0.77283823,0.00006788197,0.000024092604,0.00004534266,0.00016391964,0.00012620066,0.0011726974,0.0040626293,0.21734668,0.0011402661],"about_ca_topic_score_codex":0.00027073955,"about_ca_topic_score_gemma":0.0002585082,"teacher_disagreement_score":0.21268603,"about_ca_system_score_codex":0.0006216281,"about_ca_system_score_gemma":0.00013177497,"threshold_uncertainty_score":0.99968207},"labels":[],"label_agreement":null},{"id":"W4312563205","doi":"10.24036/ecosains.11574257.00","title":"Pengaruh Inflasi, Tingkat Bunga, Emas Dunia, dan Utang Luar Negeri Terhadap Nilai Tukar Rupiah","year":2020,"lang":"en","type":"article","venue":"Ecosains Jurnal Ilmiah Ekonomi dan Pembangunan","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Inflation (cosmology); Exchange rate; Variables; Economics; Foreign exchange; Inflation rate; Quarter (Canadian coin); Ordinary least squares; Interest rate; Variable (mathematics); Monetary economics; Econometrics; Mathematics; Statistics; Physics; Geography","score_opus":0.03316244387425226,"score_gpt":0.21104073982514898,"score_spread":0.17787829595089671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312563205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85913455,0.0015658473,0.00023731458,0.0070722294,0.00097624835,0.00052448455,0.00030329835,0.00026961396,0.12991638],"genre_scores_gemma":[0.98720664,0.0002651757,0.00026031752,0.009005363,0.0019694546,0.000062948966,0.00013580109,0.00020092685,0.00089335174],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948371,0.000085202984,0.002125222,0.0013637028,0.00012035455,0.0014684136],"domain_scores_gemma":[0.99652946,0.00020738739,0.0011411805,0.00091625674,0.000072753384,0.0011329448],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006528696,0.0008471841,0.0014800895,0.00041187965,0.0006397807,0.0005351607,0.0012768748,0.00042659137,0.00020832583],"category_scores_gemma":[0.00049301656,0.0010150925,0.00069343735,0.00052438624,0.00029236454,0.0010049244,0.00047832957,0.0011093096,0.0012497294],"study_design_candidate":"observational","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":[0.00040526385,0.0005717993,0.6267346,0.0004088379,0.00090052595,0.00027809638,0.010753811,0.0010823485,0.0016917121,0.3074791,0.043022987,0.0066708825],"study_design_scores_gemma":[0.0038943745,0.0007944489,0.22398178,0.00009275665,0.000086535765,0.00010403127,0.0019468917,0.006793446,0.0020017284,0.0021497516,0.7554812,0.002673081],"about_ca_topic_score_codex":0.00029526,"about_ca_topic_score_gemma":0.00023807155,"teacher_disagreement_score":0.7124582,"about_ca_system_score_codex":0.00047634228,"about_ca_system_score_gemma":0.00016892893,"threshold_uncertainty_score":0.99952793},"labels":[],"label_agreement":null},{"id":"W4312606527","doi":"10.24036/ecosains.11572657.00","title":"Interaksi Faktor Eksternal dengan Siklus Finansial di Indonesia","year":2020,"lang":"en","type":"article","venue":"Ecosains Jurnal Ilmiah Ekonomi dan Pembangunan","topic":"Economic Growth and Fiscal Policies","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":"Business cycle; Index (typography); Indonesian; Quarter (Canadian coin); Commodity; Economics; Capital (architecture); Financial system; Consumption (sociology); Capital market; Financial market; Monetary economics; Finance; Business; Macroeconomics","score_opus":0.03390675058278925,"score_gpt":0.21022006952988298,"score_spread":0.17631331894709373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312606527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642972,0.00081837195,0.0012697825,0.0040733316,0.0012185099,0.0003452764,0.00040004682,0.00016344062,0.027414085],"genre_scores_gemma":[0.9933724,0.00009604325,0.000096398,0.0037389074,0.0022538686,0.0000389658,0.00006777118,0.0001153875,0.00022028494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963858,0.00006308031,0.0015301489,0.0009652592,0.00007577928,0.0009799431],"domain_scores_gemma":[0.9977602,0.00010856763,0.00075597485,0.0005352033,0.00004566236,0.0007944183],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040742892,0.0005745705,0.0010514815,0.00036534853,0.00033480927,0.00037837194,0.0008463025,0.0002903896,0.0000973796],"category_scores_gemma":[0.00020087269,0.0006738134,0.000550852,0.00032648203,0.00018889722,0.0007012756,0.00032235865,0.0007859272,0.0011384501],"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":[0.00022199514,0.0001532665,0.8981431,0.000076180855,0.00019175741,0.0000976962,0.0031251246,0.00023139987,0.00023984759,0.09026447,0.0050349953,0.0022201354],"study_design_scores_gemma":[0.0033814784,0.00055717066,0.83450675,0.000048654387,0.00003762101,0.00009652767,0.00046439198,0.007148552,0.0008513385,0.0013120286,0.15011835,0.0014771359],"about_ca_topic_score_codex":0.00035195268,"about_ca_topic_score_gemma":0.00023748529,"teacher_disagreement_score":0.14508337,"about_ca_system_score_codex":0.00030901824,"about_ca_system_score_gemma":0.000112895556,"threshold_uncertainty_score":0.9996393},"labels":[],"label_agreement":null},{"id":"W4312650090","doi":"10.24036/ecosains.11522757.00","title":"Analisis Kausalitas Jumlah Penduduk, Pertumbuhan Ekonomi dan Kesejahteraan Masyarakat di Provinsi Jambi","year":2019,"lang":"en","type":"article","venue":"Ecosains Jurnal Ilmiah Ekonomi dan Pembangunan","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Negeri Semarang; Simon Fraser University; Korea Institute for Advancement of Technology; Universitas Udayana; Universitas Islam Riau","keywords":"Granger causality; Causality (physics); Prosperity; Economics; Panel data; Welfare; Population; Vector autoregression; Population growth; Econometrics; Demography; Economic growth; Sociology; Market economy","score_opus":0.01973092358415551,"score_gpt":0.21325273187695015,"score_spread":0.19352180829279464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312650090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83366424,0.0012247948,0.000084160645,0.0018268025,0.001900808,0.0008856213,0.000644562,0.000209802,0.15955919],"genre_scores_gemma":[0.99472576,0.00021713084,0.00003886514,0.0018466795,0.0012115337,0.0001216759,0.00033335207,0.00024707423,0.0012579013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9936808,0.00012283529,0.0023298357,0.0018485396,0.00015161693,0.0018663902],"domain_scores_gemma":[0.9956576,0.00020098296,0.001316063,0.0017903991,0.00010449264,0.00093043834],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00091049954,0.001061798,0.0018586586,0.0011094664,0.00052392104,0.0007814088,0.0015603473,0.0005308545,0.00015626891],"category_scores_gemma":[0.00019105685,0.001220003,0.00095860136,0.00056451035,0.0003012283,0.001545771,0.0005181391,0.0010241269,0.0015848969],"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":[0.00012556104,0.00026958875,0.8907237,0.00011689642,0.00025332463,0.000029749093,0.0011195295,0.00013693732,0.0001622798,0.10321369,0.0029828572,0.00086588867],"study_design_scores_gemma":[0.0028936302,0.00054436486,0.87045825,0.00008480549,0.000059397105,0.00009009825,0.0013159867,0.0027922506,0.00048977,0.000605884,0.11880466,0.0018609273],"about_ca_topic_score_codex":0.0015954799,"about_ca_topic_score_gemma":0.0007243519,"teacher_disagreement_score":0.16106153,"about_ca_system_score_codex":0.0010020642,"about_ca_system_score_gemma":0.00023157144,"threshold_uncertainty_score":0.9991925},"labels":[],"label_agreement":null}]}