{"id":"W4409161955","doi":"10.1177/10591478251334200","title":"What Do We Know About the Science of Science in Business and Economics? Insights From the Top 50 Journals, 2008–2022","year":2025,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic science; Business; Marketing; Economics; Classical economics","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01261164,0.0003833471,0.001141203,0.0356352,0.001570757,0.01572088,0.001022481,0.00205061,0.002935139],"category_scores_gemma":[0.102154,0.0004086067,0.0007480821,0.04740065,0.002681352,0.01334794,0.002676491,0.002362777,0.001204442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004078849,"about_ca_system_score_gemma":0.005189469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008765398,"about_ca_topic_score_gemma":0.01049232,"domain_scores_codex":[0.991702,0.001290059,0.001474167,0.0008898621,0.00398068,0.0006631404],"domain_scores_gemma":[0.7351014,0.1471377,0.05857729,0.005729087,0.03927151,0.014183],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002836033,0.0002181415,0.7022125,0.005225172,0.0006314248,0.0006738086,0.006455384,0.001181118,0.00135393,0.0133932,0.04557372,0.222798],"study_design_scores_gemma":[0.0000198728,0.0001593591,0.8403935,0.002881489,0.0002013265,0.0007637593,0.008436641,0.0008657156,0.0008939157,0.009362301,0.1359127,0.0001093605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4781316,0.2858824,0.001428804,0.1734227,0.002469358,0.00004418831,0.01323613,0.0001053139,0.0452794],"genre_scores_gemma":[0.8321751,0.137568,0.001731698,0.01214553,0.007408442,0.00006432757,0.007000882,0.00006906898,0.001836939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9873884,"threshold_uncertainty_score":0.06669754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05335037055798965,"score_gpt":0.3386326175699043,"score_spread":0.2852822470119146,"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."}}