{"id":"W3125235482","doi":"","title":"Nowcasting Chinese GDP: Information Content of Economic and Financial Data","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nowcasting; Economics; Econometrics; Quarter (Canadian coin); Real gross domestic product; Investment (military); Asset (computer security); Economic indicator; Macroeconomics; Computer 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":[0.003685051,0.0008470567,0.0008794877,0.003418861,0.0004892953,0.001563951,0.0008726532,0.000785578,0.001379634],"category_scores_gemma":[0.01813956,0.0004783875,0.0009517183,0.003610333,0.0006589574,0.002189337,0.001242726,0.001333214,0.0004777851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680647,"about_ca_system_score_gemma":0.00129281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04493117,"about_ca_topic_score_gemma":0.02936531,"domain_scores_codex":[0.9987801,0.0003405579,0.00009335284,0.0003301345,0.0003231403,0.0001327254],"domain_scores_gemma":[0.9928173,0.00355011,0.0007519065,0.001842195,0.0009253556,0.0001130937],"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":[0.0005307657,0.0001960848,0.3598457,0.0005177576,0.000726218,0.00104193,0.0008592107,0.2471141,0.00520432,0.03116211,0.01788856,0.3349133],"study_design_scores_gemma":[0.00005493119,0.0001423603,0.3548705,0.0001348266,0.0004222835,0.0003057421,0.0004748552,0.5904182,0.005772931,0.02481864,0.02239654,0.000188063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8780062,0.002262993,0.08621862,0.003013967,0.0006418066,0.0002185739,0.02138483,0.0006820271,0.007571094],"genre_scores_gemma":[0.9650007,0.001533057,0.009537075,0.0001267645,0.0002840257,0.00006640788,0.02137078,0.00005673476,0.002024539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04493117,"threshold_uncertainty_score":0.08933932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207227341828588,"score_gpt":0.2955141813363576,"score_spread":0.1747914471534988,"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."}}