{"id":"W2386104615","doi":"","title":"2003:Analysis of China's Economic Situations and Monetary Policy Choice","year":2003,"lang":"en","type":"article","venue":"","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Economics; Chinese economy; Monetary policy; Quarter (Canadian coin); Economy; Macroeconomics; Political science; Geography","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":[0.002599359,0.0002367368,0.0003476327,0.001548734,0.001238237,0.002366278,0.0005317704,0.000548583,0.002647149],"category_scores_gemma":[0.005786544,0.0001666202,0.0003351031,0.002886453,0.0007351538,0.001248051,0.0007376465,0.0006611014,0.0001219236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006730509,"about_ca_system_score_gemma":0.002540501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04258588,"about_ca_topic_score_gemma":0.05869137,"domain_scores_codex":[0.9991032,0.0004109054,0.00004896793,0.00006495635,0.0001847456,0.0001873481],"domain_scores_gemma":[0.9983456,0.0007070265,0.0003260071,0.00005586171,0.0003256867,0.0002398193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001529624,0.0004480255,0.72757,0.000276025,0.0003615323,0.002617958,0.005784579,0.06859525,0.00162685,0.1051321,0.007485779,0.0785723],"study_design_scores_gemma":[0.0001018193,0.0002626986,0.7901558,0.00009375995,0.0001356414,0.0002267084,0.01180819,0.1509299,0.001269123,0.0342857,0.01063918,0.00009159141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989732,0.0001752892,0.0003493211,0.0007338726,0.000004933565,0.00003839377,0.0002670014,0.000004358351,0.008694809],"genre_scores_gemma":[0.9986947,0.0001694064,0.0002240662,0.00002464946,0.000003914905,0.00001895978,0.0001760841,0.000001425508,0.0006868114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04258588,"threshold_uncertainty_score":0.08467603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878730506257822,"score_gpt":0.3229813209412721,"score_spread":0.3041940158786939,"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."}}