{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00478304,0.001074464,0.0007504795,0.0008734934,0.01179952,0.006725184,0.004817167,0.0593266,0.0527217],"category_scores_gemma":[0.01492754,0.0009077988,0.0006648017,0.001808386,0.00444986,0.007331161,0.003338601,0.02081816,0.01330363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01765524,"about_ca_system_score_gemma":0.0143529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2228596,"about_ca_topic_score_gemma":0.2984597,"domain_scores_codex":[0.9962953,0.0009109302,0.0003102321,0.0005039263,0.001022973,0.0009566545],"domain_scores_gemma":[0.9915354,0.003632848,0.0009161094,0.0003416772,0.002208999,0.00136499],"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":[0.00001368598,0.000009092862,0.0004110824,0.00005304303,0.000001960851,0.0005450255,0.000590431,0.00003422113,0.0001462764,0.004860488,0.9908109,0.002523895],"study_design_scores_gemma":[0.00002181307,0.00001649179,0.001261488,0.0001315612,0.000005029461,0.0001714522,0.00249015,0.00006417494,0.0001200857,0.0007659054,0.9949085,0.00004328901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001016794,0.002462412,0.000112447,0.9650817,0.004566459,0.00004887028,0.0001599253,0.00007187214,0.02647955],"genre_scores_gemma":[0.01344244,0.001829574,0.0001845293,0.8878947,0.003056038,0.0001119552,0.00006310445,0.00005376305,0.09336393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2228596,"threshold_uncertainty_score":0.4431249,"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."}}