{"id":"W1843663959","doi":"","title":"Ownership versus Management Effects on Performance in Family and Founder Companies: A Bayesian Analysis","year":2010,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Family Business Performance and Succession","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; University of Alberta","funders":"","keywords":"Multicollinearity; Bayesian probability; Agency (philosophy); Principal–agent problem; Economics; Sociology; Management; Computer science; Regression analysis; Corporate governance; Social science; Statistics; Mathematics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005845188,0.0007337749,0.001125146,0.002496988,0.0005599327,0.0001683429,0.001486806,0.000425946,0.0001083291],"category_scores_gemma":[0.00004861073,0.000783635,0.0004691835,0.001174551,0.0005521729,0.0007374752,0.002887724,0.001662074,0.00004503581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001816017,"about_ca_system_score_gemma":0.00009260317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004351453,"about_ca_topic_score_gemma":0.007737533,"domain_scores_codex":[0.9967501,0.00009454817,0.000477405,0.001164036,0.0008202373,0.0006936901],"domain_scores_gemma":[0.9976775,0.0002742324,0.0005800729,0.001209128,0.0001780661,0.00008099121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02709904,0.003497493,0.6144865,0.03612415,0.01039678,0.002166838,0.02071728,0.02443939,0.000686209,0.01785024,0.003350936,0.2391851],"study_design_scores_gemma":[0.004633083,0.0001289457,0.7647722,0.001853497,0.001608414,0.000001638952,0.007228873,0.2039758,0.000006597473,0.0007264022,0.01385664,0.001207985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501224,0.0001900458,0.000219644,0.0004164883,0.000521901,0.0007114076,0.00003336937,0.0001089983,0.04767576],"genre_scores_gemma":[0.9953634,0.001401705,0.001595553,0.000405773,0.0002043277,0.000006588069,0.0004096093,0.00005681901,0.0005561992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2379771,"threshold_uncertainty_score":0.9994615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170710259212221,"score_gpt":0.2153924992755552,"score_spread":0.193685396683433,"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."}}