{"id":"W2605252171","doi":"10.5539/mas.v11n5p1","title":"Strategic Human Resource Management in International Organizations","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Leadership, Human Resources, Global Affairs","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Human resource management; Strategic human resource planning; Human resources; Competitive advantage; Resource (disambiguation); Resource management (computing); Industrial organization; Knowledge management; Environmental resource management; Strategic planning; Marketing; Management; Economics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002856592,0.000242667,0.0001479267,0.001586658,0.00188839,0.002663364,0.0003006132,0.0003240479,0.00982864],"category_scores_gemma":[0.005393071,0.00006284082,0.0001901428,0.002869476,0.001616702,0.002107841,0.00182412,0.000629779,0.0006658594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002490515,"about_ca_system_score_gemma":0.003463399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006069842,"about_ca_topic_score_gemma":0.008765372,"domain_scores_codex":[0.9972819,0.001462783,0.00008647248,0.0001416072,0.0003799499,0.0006472541],"domain_scores_gemma":[0.9971597,0.0008139405,0.000592751,0.0002069189,0.0006862988,0.0005403476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002231173,0.0007389848,0.2726724,0.0004573145,0.00008627927,0.0003834768,0.04384313,0.005223171,0.001249692,0.2675213,0.01916295,0.3884383],"study_design_scores_gemma":[0.00003208568,0.0006635959,0.5473509,0.0007227749,0.00007164164,0.000383584,0.1941607,0.004064599,0.001835771,0.076699,0.1739585,0.00005694696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6151752,0.00195932,0.003414532,0.006528196,0.0001220157,0.00009251223,0.0001953121,0.00003949632,0.3724735],"genre_scores_gemma":[0.9922178,0.0004135999,0.00065072,0.0002693241,0.0000202577,0.00003687011,0.00007733206,0.000006207158,0.006307935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00982864,"threshold_uncertainty_score":0.03288001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05437391135957587,"score_gpt":0.3366873821965814,"score_spread":0.2823134708370055,"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."}}