{"id":"W2072591245","doi":"10.1002/tie.20195","title":"DHL Bangladesh: Managing headquarters‐subsidiary relations. Comment on DHL Bangladesh: Managing headquarters‐subsidiary relations","year":2008,"lang":"en","type":"article","venue":"Thunderbird International Business Review","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Subsidiary; Business; Human resources; Human resource management; Preference; Human resource management system; Workload; Stakeholder; Industrial organization; Management; Operations management; Marketing; Multinational corporation; Economics; Finance","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001218451,0.0008346086,0.0008820004,0.0009006119,0.0008794121,0.0003537675,0.002668485,0.0001585022,0.001108782],"category_scores_gemma":[0.0001162129,0.0008630975,0.0004497811,0.00222476,0.0002107818,0.002061838,0.0007579573,0.0007344169,0.00274311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287264,"about_ca_system_score_gemma":0.0002307576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001454294,"about_ca_topic_score_gemma":0.00003161374,"domain_scores_codex":[0.9935267,0.0005639183,0.001632268,0.001539743,0.001779334,0.0009580654],"domain_scores_gemma":[0.9957551,0.0006125775,0.0007565005,0.002027494,0.0005171456,0.0003311914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009293081,0.001233372,0.002847383,0.001977205,0.0009201473,0.001364174,0.0009299463,0.02340565,0.0000331488,0.2188391,0.6126433,0.1357137],"study_design_scores_gemma":[0.004704251,0.0004945714,0.06784347,0.0217697,0.0005819728,0.0009424203,0.0002311766,0.1716492,0.00006531052,0.02269928,0.7047942,0.004224422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007921961,0.02491845,0.5622165,0.2757414,0.004193159,0.003443404,0.00003445744,0.001555761,0.1271046],"genre_scores_gemma":[0.8315228,0.04943606,0.01950174,0.09141504,0.001294408,0.001308133,0.000985121,0.0002956597,0.004241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8307306,"threshold_uncertainty_score":0.9998043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956916079329945,"score_gpt":0.2594803249483213,"score_spread":0.2299111641550218,"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."}}