{"id":"W2417665942","doi":"10.6000/1929-7092.2016.05.18","title":"How do Agency Problems Affect the Implied Cost of Capital?","year":2016,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Affect (linguistics); Agency cost; Agency (philosophy); Capital (architecture); Business; Cost of capital; Economics; Monetary economics; Finance; Microeconomics; Psychology; Sociology; History; Corporate governance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005386821,0.0006832555,0.000859796,0.001119534,0.0005053679,0.004521084,0.0006499522,0.002427491,0.007677076],"category_scores_gemma":[0.04519775,0.0003051629,0.0008423136,0.001538304,0.001831198,0.003732921,0.00154872,0.002028309,0.0005421943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001985435,"about_ca_system_score_gemma":0.001076131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633195,"about_ca_topic_score_gemma":0.001184282,"domain_scores_codex":[0.9953852,0.00188361,0.0003956254,0.000533514,0.001038713,0.0007633545],"domain_scores_gemma":[0.8765302,0.0694584,0.04575683,0.00289218,0.00312772,0.002234701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001609859,0.001685465,0.6504734,0.0008522379,0.001357903,0.001117228,0.0006699483,0.1000992,0.005363847,0.1550017,0.003129189,0.07864],"study_design_scores_gemma":[0.0002363673,0.00167312,0.7296059,0.0003012669,0.0008247774,0.0007754623,0.001537723,0.06388633,0.0071751,0.1850666,0.008682171,0.0002351917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517884,0.003161812,0.01230674,0.003374283,0.00007825904,0.0001349231,0.0004748188,0.00003551492,0.0286452],"genre_scores_gemma":[0.9971809,0.000619143,0.0007655927,0.0001175018,0.00003319249,0.0000302145,0.00009383686,0.000005443505,0.001154171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007677076,"threshold_uncertainty_score":0.02848852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095116146767706,"score_gpt":0.2304069676787926,"score_spread":0.1994558062111156,"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."}}