{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"249f452d0e58","filters":{"venue":"Journal of Business and Economics Research (JBE)"}},"results":[{"id":"W4385612169","doi":"10.47065/jbe.v4i2.3636","title":"Pengaruh Jerat Stagflasi Pada Capaian Laju Investasi di Provinsi Jawa Timur Periode 2019-2022","year":2023,"lang":"en","type":"article","venue":"Journal of Business and Economics Research (JBE)","topic":"Financial Analysis and Corporate Governance","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":"Stagflation; Inflation (cosmology); Investment (military); Realization (probability); Economics; Quarter (Canadian coin); Statistics; Mathematics; Geography; Macroeconomics; Unemployment; Physics; Political science","authors":[{"name":"Anggun Wida Prawira","is_ca":false},{"name":"Syamsul Arifin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05254890729856091,"gpt":0.2562112175770977,"spread":0.2036623102785368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002291109,0.0002449343,0.0005641614,0.0008057018,0.0005805281,0.001260668,0.000518205,0.0001096086,0.0001272832],"category_scores_gemma":[0.0005027245,0.0002098854,0.0001400415,0.001748824,0.0001985815,0.002143297,0.0004724295,0.0005563227,0.0001935417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330296,"about_ca_system_score_gemma":0.0004120159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00205217,"about_ca_topic_score_gemma":0.002520525,"domain_scores_codex":[0.9977951,0.00004281721,0.0007248776,0.0003583526,0.0004524373,0.0006263981],"domain_scores_gemma":[0.9973528,0.0001012663,0.0006959908,0.0002943467,0.001474973,0.0000805582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001482392,0.0008567107,0.2703292,0.002211527,0.0006607026,0.001450981,0.0009241442,0.01277351,0.006803741,0.06629629,0.4696413,0.1665695],"study_design_scores_gemma":[0.001488448,0.00009443195,0.3490953,0.0002241877,0.00007061409,0.00003327738,0.001170586,0.02136415,0.000106518,0.005662932,0.6200749,0.0006145894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904962,0.0005313067,0.00003868742,0.006395273,0.0004684863,0.000177961,0.00002250462,0.00002384425,0.001845694],"genre_scores_gemma":[0.9891042,0.005278403,0.00004178343,0.0005556637,0.002137155,0.00001272477,0.00004199686,0.00005717541,0.002770898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1659549,"threshold_uncertainty_score":0.9997761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416680642","doi":"10.47065/jbe.v6i2.7301","title":"Efektivitas Kebijakan Moneter Dalam Mengendalikan Inflasi di Indonesia dengan Pendekatan Error Correction Model (ECM)","year":2025,"lang":"","type":"article","venue":"Journal of Business and Economics Research (JBE)","topic":"Economic Growth and Fiscal Policies","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":"Inflation (cosmology); Monetary policy; Error correction model; Circulation (fluid dynamics); Inflation targeting; Term (time); Quarter (Canadian coin); Interest rate","authors":[{"name":"Liasulistia Ningsih","is_ca":false},{"name":"Indra Ismayudi Tanjung","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08250912970386008,"gpt":0.3071472412420454,"spread":0.2246381115381853,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005395379,0.0007283685,0.002108093,0.003439014,0.00100944,0.001462443,0.001139313,0.0007405026,0.00009066934],"category_scores_gemma":[0.0008471336,0.0008457562,0.0005059052,0.001075844,0.0008791606,0.002560948,0.0008183888,0.002200427,0.00007876669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063599,"about_ca_system_score_gemma":0.0009559986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005033258,"about_ca_topic_score_gemma":0.0005349746,"domain_scores_codex":[0.993391,0.0002138788,0.00358637,0.001069,0.0001642634,0.001575436],"domain_scores_gemma":[0.99474,0.0005911983,0.001949286,0.0008435883,0.001132583,0.0007433525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002779515,0.001738623,0.7094535,0.001628956,0.00288131,0.00008758217,0.00519845,0.0812944,0.0002625718,0.1376621,0.01787346,0.03913956],"study_design_scores_gemma":[0.00572922,0.0006772589,0.5026235,0.0005679124,0.0001706513,0.0001582773,0.00201533,0.4056109,0.0003518399,0.04413418,0.03643465,0.001526307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639899,0.007565901,0.002560417,0.004604367,0.005081191,0.000614223,0.0002490762,0.00001758485,0.01531739],"genre_scores_gemma":[0.969532,0.02455307,0.0001752921,0.0002657362,0.0009786143,0.0000293621,0.00002407069,0.0001012392,0.004340655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3243165,"threshold_uncertainty_score":0.9995741,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}