{"id":"W2129344582","doi":"10.1109/icmse.2009.5318204","title":"Comparing the organization structure of management in Canadian, Russian and Chinese enterprises","year":2009,"lang":"en","type":"article","venue":"","topic":"Organizational Downsizing and Restructuring","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Context (archaeology); Business; Order (exchange); Sample (material); Organizational structure; Value (mathematics); Conceptual model; Knowledge management; Industrial organization; Human resource management; Economic system; Marketing; Management; Political science; Computer science; Economics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004336724,0.00008139147,0.00008679395,0.0002064863,0.0001060647,0.0001014214,0.0001123269,0.00002459002,0.00008709553],"category_scores_gemma":[0.00002520615,0.0000510483,0.000007847992,0.0005882905,0.00001824595,0.0002165625,0.00004330392,0.00004983812,0.00000338477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002010614,"about_ca_system_score_gemma":0.000009861808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02229181,"about_ca_topic_score_gemma":0.04570951,"domain_scores_codex":[0.9995381,0.000003247256,0.0001319185,0.000106394,0.00008972288,0.0001306273],"domain_scores_gemma":[0.9998141,0.000005818496,0.00005054779,0.00008901153,0.00003014147,0.00001037244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002170063,0.000006316713,0.9455167,0.00003428275,0.000007656109,0.000002720086,0.00005785665,0.0005374078,0.0002283257,0.05293542,0.00006777571,0.0006033466],"study_design_scores_gemma":[0.0001619253,0.000001183658,0.9942984,0.00001931474,0.000008968931,0.000001934902,0.00007193311,0.001025173,0.00006958946,0.00391712,0.0003582777,0.00006615412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870147,0.00003249835,0.00003657288,0.001262926,0.00007633325,0.0001034208,5.055156e-7,0.00002339444,0.01144963],"genre_scores_gemma":[0.9989431,0.000008108073,0.0001108574,0.0007552619,0.0001111659,1.545781e-7,0.0000138188,0.000007553548,0.00004999733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0490183,"threshold_uncertainty_score":0.9842188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003919472208802075,"score_gpt":0.1870712366470789,"score_spread":0.1831517644382769,"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."}}