{"id":"W2725797020","doi":"10.1108/mf-01-2017-0010","title":"Managerial incentives, R&D investments and cash flows","year":2017,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Endogeneity; Executive compensation; Incentive; Portfolio; Cash flow; Economics; Finance; Enterprise value; Microeconomics; Business; Econometrics","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":[0.001521662,0.0002191299,0.0003057037,0.0008411082,0.0003106114,0.001793765,0.0003292515,0.0005405291,0.003060031],"category_scores_gemma":[0.01103539,0.0001941706,0.0003562239,0.0009273271,0.0005033915,0.0007619805,0.0007237094,0.0006950569,0.0003398565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222522,"about_ca_system_score_gemma":0.0007836333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003907959,"about_ca_topic_score_gemma":0.00454639,"domain_scores_codex":[0.998989,0.0002681507,0.00010328,0.0001792966,0.0002126776,0.0002475438],"domain_scores_gemma":[0.9588171,0.01176134,0.02636531,0.0007668023,0.0005667428,0.001722729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001374612,0.000144546,0.9827785,0.00003790986,0.0001003989,0.0001218397,0.00009565741,0.004976571,0.0004679121,0.001801088,0.0002159964,0.009122208],"study_design_scores_gemma":[0.000008770578,0.0001048248,0.9917082,0.00002903656,0.00003704696,0.00008240985,0.0001899265,0.004347418,0.0006294021,0.001915146,0.0009329354,0.00001481907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954432,0.0005204862,0.0006699252,0.0003415959,0.000005001964,0.0000184927,0.0003238486,0.00000952861,0.002667816],"genre_scores_gemma":[0.9991653,0.0001068835,0.0001538775,0.00002294359,0.000009166245,0.000004069747,0.0001249803,8.676411e-7,0.0004119641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003907959,"threshold_uncertainty_score":0.01023686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401360186204957,"score_gpt":0.2278158042002738,"score_spread":0.2038022023382242,"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."}}