{"id":"W1934433223","doi":"10.20430/ete.v75i299.413","title":"El efecto de los conflictos de agencia en las políticas de dividendos a los accionistas. El caso chileno","year":2017,"lang":"es","type":"article","venue":"El Trimestre Económico","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"GLS Industries (Canada)","funders":"","keywords":"Humanities; Political science; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00297618,0.0002317708,0.0002669091,0.00156373,0.002047074,0.005666549,0.0005971185,0.000783048,0.01333976],"category_scores_gemma":[0.01190767,0.0002266966,0.0002048256,0.002694669,0.002325951,0.002073088,0.002699531,0.001258817,0.0007618073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006057329,"about_ca_system_score_gemma":0.005128877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04113242,"about_ca_topic_score_gemma":0.05737073,"domain_scores_codex":[0.9975751,0.0007242768,0.00009604587,0.0002923584,0.0008305022,0.0004816094],"domain_scores_gemma":[0.9926872,0.00262196,0.002227863,0.000351373,0.001190209,0.0009214326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007817006,0.0001731121,0.6217759,0.000639601,0.0002412908,0.001193322,0.05319532,0.002599751,0.003880408,0.2029018,0.01245059,0.1001672],"study_design_scores_gemma":[0.00008197425,0.0002091356,0.7235515,0.0003945172,0.0001074394,0.0003042882,0.06255066,0.001716407,0.002491165,0.02374336,0.1847705,0.00007908318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567749,0.002320452,0.001469771,0.005602485,0.00006111961,0.00008670676,0.0004483398,0.00002153088,0.1332146],"genre_scores_gemma":[0.9775309,0.0007765106,0.0003804491,0.0003443596,0.00004958994,0.00004028647,0.0001346364,0.0000129769,0.0207302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04113242,"threshold_uncertainty_score":0.08178598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997003760215752,"score_gpt":0.2942550241272031,"score_spread":0.2742849865250456,"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."}}