{"id":"W4308172086","doi":"10.5281/zenodo.7289724","title":"THE IMPACT OF COVID ON THE DEVELOPMENT OF HRM IN PUBLIC SERVICE: LESSONS FROM INTERNATIONAL PRACTICE","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Public service; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Service (business); 2019-20 coronavirus outbreak; Political science; Public relations; Virology; Medicine; Marketing","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008269199,0.00006191507,0.00006938958,0.0000326136,0.0005475141,0.0001833478,0.0006928832,0.00002122166,0.02180179],"category_scores_gemma":[0.0007758955,0.00004212345,0.00002254692,0.0003362153,0.00008290315,0.0001712894,0.001054266,0.0001059784,0.001484245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003358425,"about_ca_system_score_gemma":0.00001991262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001355073,"about_ca_topic_score_gemma":0.00002577406,"domain_scores_codex":[0.9990567,0.000157697,0.0002373199,0.0001732734,0.0002324824,0.000142558],"domain_scores_gemma":[0.9993502,0.0001009789,0.0001342148,0.0002372284,0.0001300305,0.00004729752],"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":[0.0005575576,0.00243118,0.003120758,0.00004477145,0.0006825869,0.00002887801,0.03434052,0.006959582,0.02333965,0.02003903,0.2063139,0.7021416],"study_design_scores_gemma":[0.000253637,0.00002025697,0.07294465,0.00001535883,0.000002301437,0.000007862534,0.001592642,0.0006223397,0.0006619658,0.0002138588,0.9235941,0.00007104701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7654954,0.00001950853,0.0003496375,0.02340243,0.00009851556,0.0002058802,0.00007922923,0.00003619791,0.2103132],"genre_scores_gemma":[0.9989079,0.00004505091,0.0004206328,0.0001647843,0.00001207126,6.65373e-8,0.000186291,0.0001018202,0.0001614203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7172802,"threshold_uncertainty_score":0.9992932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0660783117769122,"score_gpt":0.2850265847462021,"score_spread":0.2189482729692899,"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."}}