{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"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":"2fcf6d1db423","filters":{"venue":"Studia Universitatis Babeş-Bolyai. Oeconomica"}},"results":[{"id":"W4386736746","doi":"10.2478/subboec-2023-0009","title":"The Effects of Government Expenditure on the Output: A Real Business Cycle Analysis for the Romanian Economy","year":2023,"lang":"en","type":"article","venue":"Studia Universitatis Babeş-Bolyai. Oeconomica","topic":"Fiscal Policy and Economic Growth","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":"Quarter (Canadian coin); Business cycle; Romanian; Economics; Government (linguistics); Macroeconomics; Government spending; Government expenditure; Order (exchange); Bayesian probability; Real gross domestic product; Econometrics; Economy; Market economy; Finance; Statistics; Public finance; Geography; Mathematics","authors":[{"name":"Ștefan-Constantin Radu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01435034588860112,"gpt":0.1981801443051622,"spread":0.1838297984165611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623455,0.0002851474,0.0006469316,0.0007783634,0.0002340146,0.0009429232,0.0004931928,0.0005605532,0.00237223],"category_scores_gemma":[0.003797256,0.0002677505,0.0009532126,0.00120169,0.0005056291,0.000511665,0.0005397983,0.0007999692,0.0001933637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297946,"about_ca_system_score_gemma":0.0008455801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0306556,"about_ca_topic_score_gemma":0.01283652,"domain_scores_codex":[0.9996281,0.000202297,0.00002118733,0.00005711068,0.00003087526,0.00006038865],"domain_scores_gemma":[0.9983078,0.001134494,0.000225156,0.0001179511,0.0001487268,0.0000658276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004114435,0.0001851725,0.1107137,0.0001384464,0.0003156558,0.0005405126,0.0001533334,0.8724389,0.001242753,0.007048222,0.0008774523,0.00593436],"study_design_scores_gemma":[0.0000892461,0.0002619769,0.1159405,0.00004632553,0.0001331975,0.0001187214,0.0002674039,0.8772952,0.001426534,0.002334089,0.002043067,0.0000437219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955883,0.0002482848,0.001874663,0.0001917475,0.00000851045,0.00001537925,0.0006075513,0.00001560134,0.001449793],"genre_scores_gemma":[0.9985165,0.0001411215,0.0004787969,0.00001318451,0.000004945538,0.00001263538,0.0004043982,0.000006826581,0.0004215268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0306556,"threshold_uncertainty_score":0.06095433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}