{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009174889,0.0002637662,0.0004136652,0.000352523,0.0002593487,0.00009071427,0.0002910516,0.0001139351,0.0004264656],"category_scores_gemma":[0.0006181468,0.0003174893,0.0001004262,0.0007969456,0.00005131002,0.0004371073,0.0001369729,0.000232512,0.0003877559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001578022,"about_ca_system_score_gemma":0.00003618609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008921848,"about_ca_topic_score_gemma":0.00004098568,"domain_scores_codex":[0.9978746,0.00003787913,0.0006195132,0.0007767932,0.00008935928,0.0006018697],"domain_scores_gemma":[0.9987804,0.0003162523,0.0002285003,0.0005119165,0.000009765567,0.0001531253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00036742,0.0001344256,0.8194836,0.0001977884,0.0002640557,0.0001330265,0.005729199,0.001875808,0.001254302,0.001122645,0.1304447,0.03899301],"study_design_scores_gemma":[0.0003267051,0.00004247987,0.6091712,0.0001850121,0.000008969756,0.000008896607,0.00002354259,0.003775855,0.00003270846,0.002679475,0.3834214,0.0003237739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831678,0.003491234,0.001190062,0.00741684,0.0008573787,0.0003572525,0.0004102382,0.0002698881,0.002839335],"genre_scores_gemma":[0.9863165,0.009144287,0.0003119077,0.0009470847,0.0001716392,0.000072757,0.00003192866,0.00004184468,0.002962027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2529767,"threshold_uncertainty_score":0.9999277,"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."}}