{"id":"W4399626380","doi":"10.1142/s2424786324500087","title":"Information transparency and stock sentiment beta: Evidence from China","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"Fundamental Research Funds for the Central Universities; Liaoning Revitalization Talents Program; National Natural Science Foundation of China","keywords":"Accrual; Transparency (behavior); Stock (firearms); Corporate governance; Earnings; Business; Endogeneity; Economics; Monetary economics; Accounting; Econometrics; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002348236,0.00009735942,0.0001751615,0.0002707198,0.00002069072,0.0002093256,0.0001721141,0.00004825058,0.00008038073],"category_scores_gemma":[0.0001288025,0.0001009826,0.00008438506,0.00008483565,0.00001478966,0.001661916,0.00002242004,0.0001574049,0.00002242039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008680102,"about_ca_system_score_gemma":0.00004232855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001164056,"about_ca_topic_score_gemma":0.000002220328,"domain_scores_codex":[0.9991546,0.00000283894,0.0005751291,0.00008196402,0.00008640021,0.00009903067],"domain_scores_gemma":[0.9996599,0.00004005387,0.0001586603,0.00004971313,0.00004838554,0.00004327962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001580334,0.00008208989,0.02309893,0.0002278581,0.0004299174,0.0001602061,0.007208391,0.01025154,0.0008142584,0.8910435,0.002913989,0.06361123],"study_design_scores_gemma":[0.0005964083,0.0002110211,0.8489598,0.001411637,0.00002658492,0.00005876312,0.00002851396,0.02642209,0.0005640017,0.02245428,0.09887117,0.0003956973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916012,0.01346339,0.06286869,0.001502654,0.004923776,0.00008036916,0.0001209207,0.00003012203,0.0009980887],"genre_scores_gemma":[0.996982,0.00138995,0.001076394,0.00004360467,0.0004652978,0.000002903366,0.00000553493,0.000007099384,0.00002719075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8685893,"threshold_uncertainty_score":0.4117951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591136433901097,"score_gpt":0.2129567583451558,"score_spread":0.1970453940061448,"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."}}