{"id":"W2899848556","doi":"10.7202/1052693ar","title":"CEO Compensation and State Ownership in French Listed Companies","year":2018,"lang":"en","type":"article","venue":"Management international","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shareholder; Panel data; Compensation (psychology); Business; Voting; Sample (material); Accounting; State (computer science); Empirical research; Executive compensation; Demographic economics; Econometrics; Corporate governance; Economics; Finance; Political science; Law; Psychology; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001601556,0.0001016941,0.00008845556,0.0002282153,0.00005853922,0.0001993527,0.0001930789,0.00001753838,0.0002130261],"category_scores_gemma":[0.00001321596,0.0001000592,0.00001769527,0.0002403538,0.0000608273,0.0006594661,0.0001579237,0.00005309264,0.0002707228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003769654,"about_ca_system_score_gemma":0.000002873351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005777861,"about_ca_topic_score_gemma":0.00118824,"domain_scores_codex":[0.9992277,0.000003721319,0.0001876474,0.0002175817,0.0002229085,0.00014043],"domain_scores_gemma":[0.9996361,0.00001000842,0.0001506082,0.0001055566,0.00009279702,0.000004999358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008596887,0.0001310161,0.8317639,0.0001084199,0.00005766492,0.00003403002,0.000165867,0.0001384823,0.00004732567,0.1132218,0.02070807,0.03353748],"study_design_scores_gemma":[0.0006014872,0.000006399429,0.8392947,0.00005754316,0.000006845188,4.879489e-7,0.00006226071,0.00713834,0.000007382322,0.005888185,0.1468183,0.0001181326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8867636,0.00001823287,0.001193438,0.001993145,0.0006953464,0.0001893007,0.000006843367,0.00005928097,0.1090808],"genre_scores_gemma":[0.9947933,0.00002092254,0.0002099511,0.001709394,0.0004079827,0.00001323497,0.00004489742,0.000008869063,0.002791449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1261102,"threshold_uncertainty_score":0.4080296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666501608314662,"score_gpt":0.2297645891611063,"score_spread":0.2030995730779596,"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."}}