{"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":"1876e090d6c5","filters":{"venue":"Journal of Changchun Finance College"}},"results":[{"id":"W2367193656","doi":"","title":"Empirical Analysis of the Credit Transmission Channel of Monetary Policy in China","year":2008,"lang":"en","type":"article","venue":"Journal of Changchun Finance College","topic":"Banking stability, regulation, efficiency","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":"Credit channel; Monetary policy; Granger causality; China; Economics; Channel (broadcasting); Monetary economics; Quarter (Canadian coin); Empirical research; Unit root test; Transmission (telecommunications); Econometrics; Cointegration; Inflation targeting; Computer science; Telecommunications","authors":[{"name":"Ming‐Hua Liu","is_ca":false},{"name":"Faw Car","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02862970888966122,"gpt":0.2519759914234839,"spread":0.2233462825338227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001610622,0.0002754632,0.0004912178,0.002266339,0.0005215811,0.001021647,0.0005090961,0.0004438996,0.002042504],"category_scores_gemma":[0.00619314,0.0002536616,0.0004479375,0.003100201,0.000488348,0.0007342859,0.0004938747,0.0005678976,0.0002056457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332427,"about_ca_system_score_gemma":0.001967089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0577719,"about_ca_topic_score_gemma":0.03393448,"domain_scores_codex":[0.9994115,0.00008945884,0.00006492882,0.0001228827,0.0001420599,0.000169239],"domain_scores_gemma":[0.9926393,0.002202139,0.002685292,0.0004873745,0.001381083,0.0006048999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001245607,0.00005375269,0.9843715,0.00003221821,0.00007938051,0.0002822237,0.0003999469,0.003889926,0.0005794985,0.0008893431,0.000940889,0.008356817],"study_design_scores_gemma":[0.00002724393,0.00003700845,0.9850465,0.00001396467,0.00005848799,0.00007701647,0.0002326688,0.01312875,0.0004130572,0.0002463268,0.0007075167,0.00001150412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986681,0.0000955365,0.000116328,0.0001018168,0.000003163434,0.000005386024,0.0004071587,0.000006959181,0.0005956606],"genre_scores_gemma":[0.9987673,0.00008161757,0.00006157981,0.00001008434,0.000007904722,0.000006218076,0.000757826,0.000002384067,0.000305306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0577719,"threshold_uncertainty_score":0.1148713,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}