{"id":"W3032823759","doi":"10.1057/s41267-020-00335-9","title":"International HRM insights for navigating the COVID-19 pandemic: Implications for future research and practice","year":2020,"lang":"en","type":"editorial","venue":"Journal of International Business Studies","topic":"International Student and Expatriate Challenges","field":"Social Sciences","cited_by":703,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; International business; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Organizational culture; Political science; Economics; Management; Public relations; Virology; Medicine; Outbreak","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":[0.02282901,0.003289598,0.003579022,0.006171346,0.007591411,0.0218107,0.004141968,0.03334491,0.01704809],"category_scores_gemma":[0.08596439,0.0009747308,0.002630784,0.003558965,0.006561809,0.009715704,0.004625165,0.03707872,0.006888369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006685162,"about_ca_system_score_gemma":0.02077608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007595988,"about_ca_topic_score_gemma":0.02244153,"domain_scores_codex":[0.9858263,0.003007572,0.001530715,0.001107998,0.007325437,0.001201958],"domain_scores_gemma":[0.8981218,0.05925091,0.002596404,0.001656771,0.02733205,0.01104199],"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":[0.00001049878,0.0000125045,0.00003013544,0.0002422835,0.000007426655,0.00006635264,0.00008543533,0.00001776372,0.00001549953,0.0009660327,0.9939278,0.004618241],"study_design_scores_gemma":[0.00003088294,0.00001866875,0.0002614003,0.001637155,0.00003881791,0.0001138049,0.000590488,0.000108218,0.00003792286,0.004416081,0.9927148,0.00003170197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000240017,0.003838861,0.0000749932,0.09501835,0.8993061,0.00001705101,0.00003671159,0.00002134931,0.00166264],"genre_scores_gemma":[0.0005037406,0.005849964,0.0001548829,0.03012037,0.957707,0.0000328233,0.00002245556,0.00002598757,0.005582788],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03334491,"threshold_uncertainty_score":0.1207328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.252282406229004,"score_gpt":0.5392682230922932,"score_spread":0.2869858168632892,"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."}}