{"meta":{"query_hash":"c1aa9cc564f0","filters":{"venue":"Jingji yu guanli yanjiu"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/c1aa9cc564f0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Jingji+yu+guanli+yanjiu"},"results":[{"id":"W2354743835","doi":"","title":"The Construction of China Monetary Condition Index and Empirical Analysis of Economic Growth","year":2012,"lang":"en","type":"article","venue":"Jingji yu guanli yanjiu","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","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":"Economics; Index (typography); Econometrics; Exchange rate; Monetary policy; Variable (mathematics); Macro; Interest rate; China; Scale (ratio); Money supply; Macroeconomics; Monetary economics; Mathematics","score_opus":0.02357188651435198,"score_gpt":0.3356333153167556,"score_spread":0.3120614288024036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354743835","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":[0.9271438,0.0011984322,0.039946634,0.00064388197,0.00010115875,0.00032058556,0.0014329553,0.00014977065,0.029062808],"genre_scores_gemma":[0.9854876,0.00075044215,0.0107536325,0.0000297046,0.000039259237,0.0002166207,0.0009029957,0.000013605621,0.0018062739],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908006,0.00022409303,0.000119626326,0.00014488195,0.0003453131,0.000086162705],"domain_scores_gemma":[0.9990854,0.00021665737,0.00018334993,0.00007206545,0.00036002535,0.00008251998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014940533,0.00041324558,0.00026413734,0.004260437,0.00048648374,0.0010781438,0.0003174537,0.00025082208,0.0011398054],"category_scores_gemma":[0.004161728,0.00015668491,0.0002856135,0.0047500012,0.0006077393,0.0012766393,0.0007547785,0.00039694927,0.00013531922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012751628,0.00012494953,0.65227544,0.00036269132,0.00010501395,0.00065917376,0.0022839615,0.017750025,0.0028378833,0.06549674,0.008841241,0.24913542],"study_design_scores_gemma":[0.00003499991,0.00014203679,0.8360623,0.00012875115,0.0000923532,0.0002425854,0.0019788072,0.12784699,0.0038818219,0.014749418,0.014752106,0.000087848144],"about_ca_topic_score_codex":0.016794715,"about_ca_topic_score_gemma":0.009163949,"teacher_disagreement_score":0.016794715,"about_ca_system_score_codex":0.0017156082,"about_ca_system_score_gemma":0.0019674376,"threshold_uncertainty_score":0.03339392},"labels":[],"label_agreement":null},{"id":"W2377650939","doi":"","title":"Monetary Policy,Financing Constraints and Corporate Investment","year":2012,"lang":"en","type":"article","venue":"Jingji yu guanli yanjiu","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":1,"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":"Monetary policy; Constraint (computer-aided design); Investment (military); Economics; Monetary economics; Credit channel; Incentive; Finance; China; Investment policy; Quarter (Canadian coin); Inflation targeting; Market economy","score_opus":0.016504972560151532,"score_gpt":0.20048357704338218,"score_spread":0.18397860448323064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377650939","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":[0.9949765,0.00087608496,0.00016630093,0.00034101075,0.000009514084,0.000012903848,0.0012551994,0.0000053743042,0.0023571951],"genre_scores_gemma":[0.9982595,0.00032812983,0.000036832742,0.000022265085,0.000012427465,0.0000074735403,0.0009575775,6.986054e-7,0.0003751621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995478,0.00006638538,0.000069844646,0.000067373854,0.000103425504,0.00014518609],"domain_scores_gemma":[0.9961223,0.0006518838,0.0026548174,0.00009470509,0.00021785294,0.0002583148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008527413,0.00023935527,0.00032539552,0.0014634939,0.0003230442,0.0013478159,0.0002688217,0.00039278058,0.0018610575],"category_scores_gemma":[0.0039335964,0.00015400289,0.00029835157,0.0019369483,0.0003473458,0.00076152897,0.00044824166,0.00039626437,0.00016714468],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006335279,0.000029449337,0.9870228,0.000041494593,0.000074743206,0.00021979086,0.00012341797,0.0039303736,0.00016033307,0.0017102179,0.000800361,0.005823773],"study_design_scores_gemma":[0.00001076928,0.000027627315,0.9909871,0.00003204195,0.000052293057,0.00006326217,0.00024622126,0.005631521,0.00024447247,0.00068177964,0.0020111792,0.000011860351],"about_ca_topic_score_codex":0.033220604,"about_ca_topic_score_gemma":0.02574938,"teacher_disagreement_score":0.033220604,"about_ca_system_score_codex":0.0016110996,"about_ca_system_score_gemma":0.001080114,"threshold_uncertainty_score":0.06605446},"labels":[],"label_agreement":null}]}