{"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,"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","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001494053,0.0004132456,0.0002641373,0.004260437,0.0004864837,0.001078144,0.0003174537,0.0002508221,0.001139805],"category_scores_gemma":[0.004161728,0.0001566849,0.0002856135,0.004750001,0.0006077393,0.001276639,0.0007547785,0.0003969493,0.0001353192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715608,"about_ca_system_score_gemma":0.001967438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01679472,"about_ca_topic_score_gemma":0.009163949,"domain_scores_codex":[0.9990801,0.000224093,0.0001196263,0.000144882,0.0003453131,0.0000861627],"domain_scores_gemma":[0.9990854,0.0002166574,0.0001833499,0.00007206545,0.0003600254,0.00008251998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001275163,0.0001249495,0.6522754,0.0003626913,0.0001050139,0.0006591738,0.002283962,0.01775002,0.002837883,0.06549674,0.008841241,0.2491354],"study_design_scores_gemma":[0.00003499991,0.0001420368,0.8360623,0.0001287512,0.0000923532,0.0002425854,0.001978807,0.127847,0.003881822,0.01474942,0.01475211,0.00008784814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271438,0.001198432,0.03994663,0.000643882,0.0001011588,0.0003205856,0.001432955,0.0001497707,0.02906281],"genre_scores_gemma":[0.9854876,0.0007504422,0.01075363,0.0000297046,0.00003925924,0.0002166207,0.0009029957,0.00001360562,0.001806274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01679472,"threshold_uncertainty_score":0.03339392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357188651435198,"score_gpt":0.3356333153167556,"score_spread":0.3120614288024036,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}