{"id":"W1751600336","doi":"","title":"Dividends and Corporate Governance: Canadian Evidence","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Endogeneity; Corporate governance; Dividend; Dividend policy; Business; Executive compensation; Monetary economics; Equity (law); Panel data; Economics; Financial economics; Finance; Econometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00173699,0.0003087022,0.000446711,0.003003194,0.002099052,0.001989369,0.000886809,0.0004031745,0.007222328],"category_scores_gemma":[0.008901922,0.0002692829,0.0005030552,0.009173791,0.001315577,0.0006303687,0.000932807,0.0008427764,0.0003643081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02318974,"about_ca_system_score_gemma":0.02135281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921398,"about_ca_topic_score_gemma":0.9942361,"domain_scores_codex":[0.998529,0.000105109,0.0000747306,0.0002138381,0.000711939,0.0003653769],"domain_scores_gemma":[0.9846206,0.002880214,0.004046698,0.0008325652,0.006113621,0.001506397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000222152,0.00007170843,0.9333379,0.0002566274,0.0002008366,0.000260163,0.002056397,0.0007187655,0.0001498252,0.00945912,0.01247646,0.04079011],"study_design_scores_gemma":[0.00002221225,0.00001910549,0.9759503,0.0001827461,0.0001270314,0.00005778796,0.001108503,0.0005145305,0.0001977297,0.0005019245,0.02129257,0.00002559707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762043,0.02745278,0.0007907074,0.006798808,0.00008721872,0.00006605766,0.0170518,0.00004642067,0.07150184],"genre_scores_gemma":[0.985252,0.007098781,0.0003424936,0.000303362,0.00002634684,0.000006698102,0.003433447,0.00001162002,0.003525353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02318974,"threshold_uncertainty_score":0.1682541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578266623645213,"score_gpt":0.2126023488620999,"score_spread":0.1868196826256478,"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."}}