{"id":"W6942497803","doi":"10.14288/1.0376952","title":"The Public Employee","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Industrial relations; Public sector; Compensation of employees; Job loss; Employee research; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00108567,0.0006210437,0.0009659275,0.00179466,0.003357869,0.002721586,0.001210989,0.002981394,0.7478008],"category_scores_gemma":[0.00607582,0.0007163962,0.0002880404,0.00312439,0.0004303622,0.002139223,0.001454036,0.002099112,0.6763972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002217608,"about_ca_system_score_gemma":0.004299145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02452721,"about_ca_topic_score_gemma":0.02866527,"domain_scores_codex":[0.9991733,0.00005413461,0.00002758772,0.00008114982,0.0004554153,0.0002083918],"domain_scores_gemma":[0.9964921,0.0007535166,0.0001885197,0.0004114265,0.001755374,0.0003990524],"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":[0.00001268888,0.00001999008,0.0001243349,0.00001953949,4.552528e-7,0.00002050866,0.0000155965,0.000007694504,0.00002998621,0.0008404258,0.9936386,0.005270083],"study_design_scores_gemma":[0.00005289939,0.00002613862,0.004157367,0.0001188284,0.000003308205,0.00003821496,0.0001512722,0.00009606488,0.0001701744,0.000665887,0.9945055,0.00001436009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001357244,0.0002759328,0.0002829339,0.008334341,0.001114278,0.0002931136,0.1058736,0.001985426,0.8804831],"genre_scores_gemma":[0.003714034,0.0002494901,0.0001644567,0.002903797,0.0006048002,0.000299321,0.01690185,0.0004443006,0.9747179],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7478008,"threshold_uncertainty_score":0.3597315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07366083179320253,"score_gpt":0.370901338742279,"score_spread":0.2972405069490764,"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."}}