{"id":"W4401926501","doi":"10.37727/jkdas.2024.26.4.975","title":"A Study on the Effect of Research and Development Expenditures on Firm Value and Corporate Performance","year":2024,"lang":"en","type":"article","venue":"The Korean Data Analysis Society","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Business; Research development; Enterprise value; Economics; Accounting; Industrial organization; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001341809,0.0002667745,0.0001843546,0.001271391,0.0002548426,0.001084367,0.0002192576,0.000351479,0.002300115],"category_scores_gemma":[0.007081664,0.00009294576,0.0003630082,0.003049357,0.0002860315,0.0009231661,0.0004441348,0.0005482339,0.0005048268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008488063,"about_ca_system_score_gemma":0.00101925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132414,"about_ca_topic_score_gemma":0.01727682,"domain_scores_codex":[0.9992347,0.0002222612,0.00007101463,0.000119614,0.0002165077,0.0001358968],"domain_scores_gemma":[0.9855676,0.005728963,0.006294129,0.0004799128,0.001129977,0.0007993929],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001166151,0.0001595665,0.9681847,0.00009555087,0.0001735713,0.0001508779,0.0001308504,0.00117403,0.0004006998,0.001066168,0.001353932,0.02699333],"study_design_scores_gemma":[0.000003056976,0.00008320432,0.9958313,0.00003134735,0.00005482289,0.00003797681,0.0002424662,0.0005251584,0.0003210293,0.0001655368,0.00269928,0.000004892079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849749,0.002716217,0.0006338733,0.0009976884,0.0000316598,0.000016726,0.002033975,0.00001609608,0.008578847],"genre_scores_gemma":[0.9953916,0.001164726,0.0002329274,0.0001269574,0.00005868873,0.00001159195,0.00146204,0.000006749439,0.001544695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9986582,"threshold_uncertainty_score":0.02632868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3891548150447129,"score_gpt":0.4594636097874498,"score_spread":0.07030879474273694,"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."}}