{"id":"W6990655378","doi":"","title":"Driving the Fake Out of Public Administration: Detoxing HR in the Canadian Federal Public Sector","year":2022,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public sector; Government (linguistics); Public policy; Fake news; Misinformation; Public information; Reputation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006476682,0.0003023201,0.0003162475,0.002331238,0.02402572,0.01021753,0.002023639,0.003696105,0.009418073],"category_scores_gemma":[0.02558204,0.0004641445,0.0003100156,0.002661964,0.009360064,0.004472007,0.003316895,0.006557443,0.0009707618],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0666036,"about_ca_system_score_gemma":0.1100081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722882,"about_ca_topic_score_gemma":0.9877614,"domain_scores_codex":[0.99152,0.001792862,0.0001290212,0.0003825076,0.003378111,0.002797521],"domain_scores_gemma":[0.978385,0.006066401,0.003182709,0.001091252,0.007316793,0.003957861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000310317,0.0006940544,0.2397232,0.00030493,0.00006046124,0.001300339,0.2924582,0.0008721622,0.001706086,0.05222608,0.1470827,0.2632615],"study_design_scores_gemma":[0.0000245999,0.0001162858,0.2061388,0.0005866513,0.00007141459,0.000321867,0.6053658,0.002343229,0.001337239,0.005101483,0.1784256,0.0001670063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7800937,0.001991189,0.001546227,0.1046459,0.0004300494,0.0001048993,0.0003294036,0.0001077127,0.110751],"genre_scores_gemma":[0.9725246,0.0009905951,0.0005151429,0.004571482,0.00004765195,0.00001081831,0.00007044234,0.00004020848,0.02122908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9333964,"threshold_uncertainty_score":0.4832452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04892592115517638,"score_gpt":0.2234238179505333,"score_spread":0.1744978967953569,"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."}}