{"id":"W1966655481","doi":"10.5539/ibr.v3n3p126","title":"Information Content of Dividends: Evidence from Istanbul","year":2010,"lang":"en","type":"article","venue":"International Business Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dividend; Dividend policy; Stock exchange; Sample (material); Business; Event study; Financial economics; Stock market; Monetary economics; Economics; Econometrics; Finance; Chemistry; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006627265,0.00009560883,0.0001249208,0.0003409956,0.00008668137,0.0003110847,0.0007125799,0.00006203521,0.000995139],"category_scores_gemma":[0.002405306,0.00008671002,0.00004216901,0.0007470223,0.0001447106,0.004682153,0.0002855001,0.000295375,0.0007939034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003529882,"about_ca_system_score_gemma":0.0000794704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01271032,"about_ca_topic_score_gemma":0.0007272115,"domain_scores_codex":[0.9982026,0.00000791762,0.0003373658,0.0001468474,0.001108842,0.0001964583],"domain_scores_gemma":[0.9955686,0.0002049623,0.0002680266,0.0002677234,0.00368068,0.00001000288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004591195,0.0001582288,0.8695461,0.0001666262,0.00005068292,0.00001437291,0.0002041562,0.000109733,0.06460658,0.02169438,0.02294036,0.02004967],"study_design_scores_gemma":[0.0002976156,0.000003404423,0.8951986,0.0001842273,0.000003977417,7.101671e-7,0.00007733394,0.0004928338,0.0006800477,0.002476559,0.1004927,0.00009203186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849782,0.00004069608,0.001479825,0.005466816,0.001335338,0.0001590134,0.00004521841,0.00002973459,0.006465186],"genre_scores_gemma":[0.9979554,0.00005388349,0.0001326657,0.0002792052,0.001027983,0.00002673375,0.00006804169,0.00000852316,0.0004475845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07755233,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195734960902975,"score_gpt":0.3311079821971319,"score_spread":0.2115344861068344,"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."}}