{"id":"W4391388071","doi":"10.1111/capa.12550","title":"Public Service in Canada post‐COVID‐19 pandemic: Transitioning to hybrid work and its implementation challenges","year":2024,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Arts Research Board, McMaster University","keywords":"Work (physics); Pandemic; Coronavirus disease 2019 (COVID-19); Public service; 2019-20 coronavirus outbreak; Political science; Service (business); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public administration; Public relations; Business; Medicine; Engineering; Marketing; Virology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008463208,0.0004014743,0.0006557045,0.001832447,0.03322923,0.01254334,0.00478757,0.003445814,0.008468134],"category_scores_gemma":[0.01574169,0.0004803066,0.000679932,0.003568993,0.01251247,0.003343663,0.01055273,0.00706782,0.0004141521],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2409655,"about_ca_system_score_gemma":0.5169117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932268,"about_ca_topic_score_gemma":0.9962549,"domain_scores_codex":[0.983156,0.002336271,0.0002801787,0.0006155419,0.002900953,0.01071104],"domain_scores_gemma":[0.9725452,0.002372568,0.001017997,0.0004072634,0.006490427,0.01716647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003582649,0.0009535903,0.1813032,0.001143768,0.0001948826,0.002584602,0.3013683,0.002033231,0.00168756,0.1277585,0.169899,0.2107151],"study_design_scores_gemma":[0.00004688113,0.0001492741,0.1442482,0.001198292,0.00004651425,0.0001767392,0.7076849,0.0009989572,0.0002270343,0.006534761,0.1385357,0.0001526622],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4954809,0.004765927,0.001092478,0.4248949,0.0008375573,0.0003288742,0.000713609,0.0001041964,0.0717816],"genre_scores_gemma":[0.9768753,0.002256056,0.0008208907,0.01467561,0.0000733683,0.00009126132,0.0001664147,0.00003036811,0.005010777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2409655,"threshold_uncertainty_score":0.8803724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1686187917619816,"score_gpt":0.3926710301781516,"score_spread":0.2240522384161699,"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."}}