{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00187317,0.0003019609,0.0002123979,0.0006879416,0.001768263,0.003963217,0.0002994533,0.0003707453,0.009114197],"category_scores_gemma":[0.003531157,0.0001275161,0.0001278339,0.001182005,0.001151056,0.001309104,0.001603493,0.0005153749,0.001241379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003927227,"about_ca_system_score_gemma":0.006895647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03282173,"about_ca_topic_score_gemma":0.03632985,"domain_scores_codex":[0.9984242,0.0006687971,0.00007693122,0.0001030859,0.0005021971,0.0002249417],"domain_scores_gemma":[0.9977728,0.001082278,0.0002324798,0.0000923169,0.0004967707,0.0003232339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006052533,0.0006727666,0.0947476,0.002667996,0.0001059823,0.002075629,0.06706289,0.001351878,0.01200192,0.03392163,0.0159679,0.7688186],"study_design_scores_gemma":[0.00008115669,0.0009377921,0.2770721,0.001445017,0.0002791304,0.0011701,0.1694015,0.002946503,0.01768962,0.00570255,0.5231433,0.000131209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.850536,0.004237866,0.003281381,0.004603085,0.0001079876,0.0002306675,0.0002718928,0.000158105,0.136573],"genre_scores_gemma":[0.9769127,0.002324601,0.002835569,0.0002289715,0.00001186188,0.00006478574,0.0001531795,0.0000185616,0.01744966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03282173,"threshold_uncertainty_score":0.06526142,"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."}}