{"id":"W2954353439","doi":"10.33423/jabe.v20i9.221","title":"Impact of Managers’ Traits and Compensation Structure on R&amp;D Investments","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cash; Volatility (finance); Compensation (psychology); Stock (firearms); Executive compensation; Business; Monetary economics; Economics; Finance; Corporate governance; Psychology","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":[0.001304516,0.0001584541,0.0001414385,0.0005526951,0.0003013067,0.001065404,0.0002189543,0.0003924209,0.00309096],"category_scores_gemma":[0.007569023,0.00008895979,0.000190223,0.000527917,0.0002921378,0.0004103671,0.0005031584,0.0004456031,0.0006842685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004138312,"about_ca_system_score_gemma":0.0003871779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304508,"about_ca_topic_score_gemma":0.002804855,"domain_scores_codex":[0.9987893,0.0004148106,0.000110963,0.0001358267,0.0002603705,0.0002887323],"domain_scores_gemma":[0.975477,0.005961302,0.01336716,0.0007372128,0.0008245124,0.003632823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001749566,0.0001721004,0.9871327,0.0000112548,0.00005425318,0.0001408771,0.0001126415,0.0003296186,0.001445259,0.0001799264,0.0001085453,0.01013793],"study_design_scores_gemma":[0.000002189137,0.00008026219,0.9991872,0.000003031705,0.000007782934,0.00004298478,0.0001000129,0.0001710949,0.000155329,0.0000623496,0.0001854579,0.000002284138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981912,0.0001578686,0.00006981348,0.00007288046,0.00000253919,0.000002209845,0.00003588238,0.000002498541,0.0014652],"genre_scores_gemma":[0.9993877,0.00003293359,0.00004396997,0.0000124171,0.000005976036,8.982773e-7,0.00003395255,6.055606e-7,0.0004815408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00309096,"threshold_uncertainty_score":0.01034027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851405644945251,"score_gpt":0.2117886381196291,"score_spread":0.1932745816701766,"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."}}