{"id":"W4386415232","doi":"10.1080/1540496x.2023.2172316","title":"Heterogeneous Market Reactions to Pandemic Announcements: Evidence from China","year":2023,"lang":"en","type":"article","venue":"Emerging Markets Finance and Trade","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"China; Government (linguistics); Private sector; Quarter (Canadian coin); Finance; Psychological intervention; Economics; Business; Economic growth; Political science","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":[0.001672514,0.0003256407,0.000333253,0.001422709,0.0006564345,0.001136149,0.0005008724,0.0006002156,0.004548879],"category_scores_gemma":[0.005287646,0.0001961024,0.0005283016,0.001775944,0.0007229401,0.0007655607,0.0008070866,0.0006946579,0.00038747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203791,"about_ca_system_score_gemma":0.001292777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09286647,"about_ca_topic_score_gemma":0.07807533,"domain_scores_codex":[0.9994146,0.0001337784,0.00004007664,0.00007716647,0.0001490851,0.0001853894],"domain_scores_gemma":[0.9898262,0.002443911,0.005306688,0.0005113686,0.001096228,0.0008157082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002925412,0.0002169252,0.9848991,0.0001110656,0.0002061373,0.0004829265,0.001100722,0.0005252731,0.0003349946,0.0006129302,0.002652152,0.008565237],"study_design_scores_gemma":[0.00003038425,0.00008812801,0.996614,0.0000163036,0.00006209943,0.00003758175,0.000743965,0.001051431,0.0001537824,0.0001093677,0.001079318,0.00001357504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953322,0.0004980757,0.00008524575,0.000594116,0.00001664957,0.00003150924,0.0008795426,0.000005734424,0.002556968],"genre_scores_gemma":[0.9982117,0.0003630071,0.00002336082,0.0001595029,0.0000278624,0.000009404444,0.0006698062,0.00000190035,0.0005334923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09286647,"threshold_uncertainty_score":0.1846519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0511050350406942,"score_gpt":0.279161165022126,"score_spread":0.2280561299814318,"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."}}