{"id":"W4381051789","doi":"10.37090/jpap.v3i1.942","title":"EFEKTIVITAS PENGGUNAAN SISTEM INFORMASI KEPEGAWAIAN DALAM MANAJEMEN PNS DI KANTOR WILAYAH KEMENTERIAN HUKUM DAN HAK ASASI MANUSIA LAMPUNG","year":2023,"lang":"en","type":"article","venue":"Jurnal Progress Administrasi Publik","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Civil servant; Staffing; Civil servants; Business; Service (business); Confidentiality; Information system; Knowledge management; Public relations; Public administration; Computer security; Political science; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002051205,0.0008093034,0.0008139928,0.0006558868,0.0007744239,0.003597827,0.003540107,0.0003325468,0.00001872945],"category_scores_gemma":[0.0002093305,0.0007645566,0.0003814969,0.00159963,0.0003156162,0.003035282,0.001340831,0.0009184158,0.0001500289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003044965,"about_ca_system_score_gemma":0.0006878318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006879542,"about_ca_topic_score_gemma":0.00008159824,"domain_scores_codex":[0.9928644,0.0004270215,0.001486956,0.001318195,0.001972038,0.001931433],"domain_scores_gemma":[0.9957966,0.0002224079,0.0009734525,0.001678923,0.0003015004,0.001027124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001126507,0.0009828835,0.6911169,0.001259879,0.0008567132,0.002907899,0.007896314,0.0001046078,0.0005330621,0.1175534,0.005134019,0.1715417],"study_design_scores_gemma":[0.001874501,0.0008894611,0.4130551,0.000416603,0.00005751074,0.0004538756,0.0007719498,0.02201328,0.0006604162,0.00006556344,0.5584897,0.001252079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8676684,0.00068206,0.008248184,0.02717755,0.01498441,0.005835291,0.00003771407,0.008710661,0.06665575],"genre_scores_gemma":[0.9871928,0.00001885489,0.002250738,0.0001625804,0.0007006195,0.000363214,0.0001945796,0.0001127592,0.009003855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5533556,"threshold_uncertainty_score":0.9994805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175415723909167,"score_gpt":0.2797674199264238,"score_spread":0.2580132626873322,"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."}}