{"meta":{"query_hash":"c4b04eeac43e","filters":{"venue":"Economy and sociology"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/c4b04eeac43e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Economy+and+sociology"},"results":[{"id":"W4391062693","doi":"10.36004/nier.es.2023.1-10","title":"Forecasting the quarterly evolution of budget revenues in Moldova utilizing a time series model","year":2023,"lang":"en","type":"article","venue":"Economy and sociology","topic":"Fiscal Policy and Economic 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":"Revenue; Time series; Econometrics; Economics; Quarter (Canadian coin); Benchmark (surveying); Econometric model; Series (stratigraphy); Finance; Computer science","score_opus":0.04340277342820593,"score_gpt":0.2256628069069302,"score_spread":0.18226003347872427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391062693","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":[0.96879804,0.0003988102,0.024362108,0.0006401189,0.00005040467,0.00004477914,0.002383681,0.00013452671,0.003187594],"genre_scores_gemma":[0.99197936,0.0003958947,0.0048785782,0.000021322452,0.000016008953,0.000025798374,0.0013838959,0.000014196272,0.0012850026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997254,0.0000910762,0.000021125254,0.00006472735,0.000035828398,0.00006183907],"domain_scores_gemma":[0.9992949,0.00034765733,0.00020340885,0.000044564476,0.00008029075,0.000029134597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011144723,0.00031404968,0.0003853207,0.0009964866,0.00019802517,0.0013828442,0.0005345517,0.0004332466,0.0009851726],"category_scores_gemma":[0.0030379363,0.00022840843,0.0005175923,0.0014454357,0.00024938965,0.0008430712,0.00050474255,0.00073399517,0.00023264313],"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":[0.00013891858,0.000093752424,0.10404177,0.000078411256,0.00009323138,0.00038773753,0.00019624805,0.85643405,0.0009237955,0.013058447,0.0019213804,0.022632308],"study_design_scores_gemma":[0.00001417946,0.000053569096,0.043212764,0.00004260393,0.000026979063,0.00005173318,0.00021815217,0.950602,0.0006540987,0.0025504455,0.0025499298,0.000023614422],"about_ca_topic_score_codex":0.06664231,"about_ca_topic_score_gemma":0.043565627,"teacher_disagreement_score":0.06664231,"about_ca_system_score_codex":0.0013841374,"about_ca_system_score_gemma":0.0008004012,"threshold_uncertainty_score":0.13250881},"labels":[],"label_agreement":null}]}