{"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":"94c3aca92797","filters":{"venue":"Jurnal Ekonomi-Qu"}},"results":[{"id":"W3158290900","doi":"10.35448/jequ.v11i1.11278","title":"DAMPAK PANDEMI COVID-19 TERHADAP PERTUMBUHAN EKONOMI DI PULAU JAWA","year":2021,"lang":"id","type":"article","venue":"Jurnal Ekonomi-Qu","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Encana (Canada)","funders":"","keywords":"Recession; Pandemic; Coronavirus disease 2019 (COVID-19); Java; Tourism; Quarter (Canadian coin); Government (linguistics); Business; Economic growth; Geography; Economics; Infectious disease (medical specialty)","authors":[{"name":"Anita Widiastuti","is_ca":true},{"name":"Silfiana Silfiana","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04447992784773275,"gpt":0.3085227520316349,"spread":0.2640428241839021,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005869357,0.0003638873,0.0003062133,0.0005882282,0.002197805,0.002958257,0.00025283,0.000614829,0.02020536],"category_scores_gemma":[0.0006014271,0.0001704682,0.0001776291,0.0008016992,0.0005737085,0.001503504,0.001326608,0.001128671,0.004208496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008197215,"about_ca_system_score_gemma":0.002827764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00158905,"about_ca_topic_score_gemma":0.002560582,"domain_scores_codex":[0.9997087,0.00006287843,0.00002964611,0.00003791716,0.00008600399,0.00007477096],"domain_scores_gemma":[0.9996309,0.00009828799,0.0000489003,0.00002332208,0.00008541249,0.0001130927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003957496,0.001344717,0.0724293,0.003981737,0.00005079463,0.01258191,0.03116909,0.0005574979,0.01469077,0.04828995,0.08297355,0.7315349],"study_design_scores_gemma":[0.00003236608,0.0002909637,0.07712621,0.001520992,0.00005635636,0.008141884,0.04424057,0.0007645372,0.004503572,0.003237531,0.8600258,0.00005924792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5059485,0.04461033,0.003130669,0.02279845,0.003788667,0.0003876663,0.0005714797,0.0003613244,0.4184029],"genre_scores_gemma":[0.8424695,0.03022588,0.003105716,0.001985198,0.0004709131,0.0001808806,0.0002921943,0.00006100648,0.1212087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02020536,"threshold_uncertainty_score":0.06759363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3084734385","doi":"10.35448/jequ.v10i1.8577","title":"STUDI EMPIRIS PENGARUH HARGA MINYAK MENTAH DUNIA DAN VARIABEL MONETER TERHADAP PEREKONOMIAN INDONESIA PERIODE 1996-2018","year":2020,"lang":"id","type":"article","venue":"Jurnal Ekonomi-Qu","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Quarter (Canadian coin); Economics; Indonesian; Context (archaeology); Vector autoregression; Error correction model; Value (mathematics); Descriptive statistics; Economy; Econometrics; Geography; Mathematics; Statistics; Cointegration","authors":[{"name":"Luthfi Fajar Arifah","is_ca":false},{"name":"Muhammad Basorudin","is_ca":false},{"name":"Muhammad Abdul Majid","is_ca":false},{"name":"Mira Choirunnisa","is_ca":false},{"name":"Putri Lydia Eltheofany S","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04419193041281737,"gpt":0.2249121009636317,"spread":0.1807201705508143,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006360942,0.0002578665,0.0002856228,0.0009710069,0.0004331617,0.001456618,0.0001634889,0.0001474917,0.004845134],"category_scores_gemma":[0.001170539,0.0001491728,0.0002155651,0.001992632,0.0002932523,0.001075555,0.000423199,0.0005822639,0.001126462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007561647,"about_ca_system_score_gemma":0.001032219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007139415,"about_ca_topic_score_gemma":0.009880369,"domain_scores_codex":[0.9997265,0.00005322804,0.00003314796,0.00006660858,0.00007981435,0.00004067928],"domain_scores_gemma":[0.9993937,0.0002202018,0.0001611573,0.00004209255,0.0001323254,0.00005047904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002873747,0.0002888629,0.7547342,0.0008004842,0.0002178699,0.001163107,0.007893344,0.002637653,0.001421367,0.01177445,0.01753663,0.2012447],"study_design_scores_gemma":[0.0000125275,0.0001080514,0.9148296,0.000488307,0.0001289766,0.0004668993,0.01093842,0.00205533,0.002093806,0.002257214,0.06659246,0.00002847403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948476,0.006142874,0.001392314,0.0012976,0.0001328194,0.00004191372,0.003555067,0.00004006455,0.03892137],"genre_scores_gemma":[0.9859676,0.004102092,0.0005791007,0.00006195427,0.00004914428,0.00003090171,0.001695421,0.00001371783,0.00750018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007139415,"threshold_uncertainty_score":0.01620859,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}