{"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":"3fbd9fd98060","filters":{"venue":"Economics Development Analysis Journal"}},"results":[{"id":"W4283698874","doi":"10.15294/edaj.v11i2.48032","title":"Energy Poverty and Education: Empirical Evidence from Indonesia","year":2022,"lang":"en","type":"article","venue":"Economics Development Analysis Journal","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Poverty; Energy poverty; Socioeconomics; Geography; Energy (signal processing); Economic growth; Demographic economics; Economics; Statistics; Mathematics","authors":[{"name":"Hilma Oktaviani","is_ca":true},{"name":"Djoni Hartono","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02380890536998053,"gpt":0.2282038025721194,"spread":0.2043948972021389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006999493,0.0002250925,0.0004075875,0.001391205,0.0005647313,0.001427248,0.0003940069,0.0002823182,0.005166864],"category_scores_gemma":[0.00291516,0.0002009064,0.0004718596,0.003904081,0.0006521953,0.000887164,0.001159885,0.001162188,0.0005677298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005438,"about_ca_system_score_gemma":0.001527064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04501706,"about_ca_topic_score_gemma":0.06231794,"domain_scores_codex":[0.9994804,0.0001204549,0.00005213966,0.00006971723,0.0001659796,0.000111228],"domain_scores_gemma":[0.9950615,0.001874057,0.001921891,0.0001453094,0.0004862309,0.0005110002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005075713,0.0003048813,0.9818278,0.0002239996,0.0001301702,0.0005140388,0.001333243,0.0003133407,0.00004321552,0.0008305007,0.001641189,0.01278693],"study_design_scores_gemma":[0.000004635552,0.0000314358,0.9906327,0.0002590696,0.00009167263,0.0001153234,0.00567159,0.0004188969,0.00007423684,0.0002305698,0.002462282,0.000007606965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827786,0.002456161,0.0001459268,0.00127734,0.00002136348,0.00001485247,0.001395578,0.000005326563,0.01190481],"genre_scores_gemma":[0.9962127,0.002210097,0.00007192968,0.0001347292,0.00001332037,0.000008638912,0.0005977133,0.000003452427,0.0007474591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04501706,"threshold_uncertainty_score":0.08951008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2910679342","doi":"10.15294/edaj.v7i4.23747","title":"Impact of Trump’s Phenomenon, Brexit, & Oil Prices Fluctuation Toward Indonesia’s Economic Growth","year":2018,"lang":"en","type":"article","venue":"Economics Development Analysis Journal","topic":"Economic Growth and Fiscal Policies","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":"Economics; Speculation; Context (archaeology); Brexit; Quarter (Canadian coin); Presidency; Shock (circulatory); Error correction model; Macroeconomics; International economics; Cointegration; Politics; Econometrics; Political science","authors":[{"name":"Abdul Holik","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03497108732539141,"gpt":0.2498834904717742,"spread":0.2149124031463828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006863948,0.0001834099,0.0002046109,0.0005181632,0.0004344544,0.00206625,0.0001935273,0.0004016443,0.002144546],"category_scores_gemma":[0.003749898,0.0000868568,0.0002164532,0.0009403102,0.0005391106,0.001005097,0.0008935503,0.001394593,0.0002064587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539411,"about_ca_system_score_gemma":0.001147655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047199,"about_ca_topic_score_gemma":0.01024287,"domain_scores_codex":[0.9994178,0.0001010404,0.00004710741,0.00009601722,0.0002015635,0.0001365178],"domain_scores_gemma":[0.9980552,0.0004534354,0.000977288,0.00008766716,0.0002846618,0.0001417189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004410327,0.0002038981,0.8608111,0.0003316741,0.0002044275,0.00277569,0.001950249,0.0118856,0.002175634,0.03056087,0.01530435,0.07335534],"study_design_scores_gemma":[0.00001321105,0.0002070568,0.9192142,0.0002023028,0.0001003102,0.0005460384,0.006552861,0.01531876,0.007028555,0.01035586,0.0403798,0.00008110411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513305,0.001360924,0.001215982,0.006165882,0.0001698098,0.00002138674,0.0009602509,0.00004031356,0.03873488],"genre_scores_gemma":[0.9970661,0.0005149495,0.0001412844,0.0002266345,0.00004023983,0.000005276294,0.0002189959,0.000008534943,0.001778045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01047199,"threshold_uncertainty_score":0.02082211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413305907","doi":"10.15294/edaj.v14i2.25097","title":"Determinants and Potential of Indonesia’s Frozen Shrimp Exports","year":2025,"lang":"en","type":"article","venue":"Economics Development Analysis Journal","topic":"Marine and Coastal Ecosystems","field":"Environmental 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":"Shrimp; Fishery; Business; Biology","authors":[{"name":"Vela Rostwentivaivi","is_ca":false},{"name":"Rita Nurmalina","is_ca":false},{"name":"Harmini","is_ca":false},{"name":"Netti Tinaprilia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004050702095608865,"gpt":0.1922514509156521,"spread":0.1882007488200432,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003654236,0.0001457073,0.0001166806,0.0005117354,0.0002084742,0.001213363,0.0001540387,0.0001619581,0.003868601],"category_scores_gemma":[0.001644224,0.00009822127,0.0001988467,0.0007059913,0.0003119912,0.000723347,0.0004659875,0.0004910708,0.0003955083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003106389,"about_ca_system_score_gemma":0.0003357601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004724581,"about_ca_topic_score_gemma":0.005414919,"domain_scores_codex":[0.99986,0.00002552539,0.00001675916,0.00002885523,0.00003716062,0.00003150552],"domain_scores_gemma":[0.9984572,0.0005556545,0.0006124763,0.00004817772,0.0001612535,0.0001652053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003687148,0.00006155091,0.9905735,0.00002063909,0.00002052648,0.0004297377,0.0002573363,0.001335641,0.0002361717,0.0008245253,0.0003230406,0.005880443],"study_design_scores_gemma":[0.000002021446,0.00002524981,0.9937056,0.00003087576,0.00001207188,0.0002130549,0.001567506,0.002455,0.0001994589,0.0005208349,0.001262236,0.000006249432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947417,0.00007223184,0.0001540506,0.0001193228,0.000003174893,0.000003350376,0.0002662345,0.000003700325,0.004636222],"genre_scores_gemma":[0.9988639,0.00007183741,0.00006229008,0.000007780141,0.00000327781,0.000001795492,0.0001762634,0.000001668599,0.0008111722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004724581,"threshold_uncertainty_score":0.01294178,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410243667","doi":"10.15294/edaj.v14i1.10522","title":"Unraveling Determinants of FDI: Insights from Oil-Abundant Economies","year":2024,"lang":"en","type":"article","venue":"Economics Development Analysis Journal","topic":"International Business and FDI","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":"Foreign direct investment; Economics; Economic geography; Economy; Macroeconomics","authors":[{"name":"Rizky Altsary","is_ca":false},{"name":"Maal Naylah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01617407346278588,"gpt":0.2191729249210791,"spread":0.2029988514582932,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004607376,0.0001765195,0.0003031344,0.001141522,0.0002853054,0.0008714238,0.0001586577,0.0001887451,0.001435292],"category_scores_gemma":[0.001243305,0.00009227855,0.0003923296,0.001167917,0.0004888018,0.000887972,0.0006219575,0.0004243266,0.0001176844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005848428,"about_ca_system_score_gemma":0.0008782591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04657662,"about_ca_topic_score_gemma":0.06697179,"domain_scores_codex":[0.9998865,0.00002541157,0.000008940176,0.00002137865,0.00001816885,0.00003961812],"domain_scores_gemma":[0.9991084,0.0003651901,0.0002998392,0.00005029076,0.0001005219,0.00007579041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005682856,0.00008055044,0.9531673,0.0001141461,0.0001534105,0.0007030108,0.001006745,0.008976599,0.0007305785,0.01316646,0.000672245,0.02117216],"study_design_scores_gemma":[0.000006370774,0.00004928804,0.9599822,0.000171586,0.0001672787,0.0001469628,0.006800677,0.01614765,0.0008198544,0.008924728,0.006758287,0.0000251276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947006,0.001128236,0.0005127132,0.0005524166,0.0000045717,0.000004365235,0.0002564455,0.000003688524,0.002836969],"genre_scores_gemma":[0.9987766,0.000653146,0.0001235344,0.00002035479,0.000003774105,0.00000140828,0.0001557372,0.000001012065,0.0002643229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04657662,"threshold_uncertainty_score":0.09261101,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}