{"id":"W4292513474","doi":"10.36080/idealis.v5i2.2938","title":"ANALISA DAN DESAIN SISTEM MONITORING TRANSAKSI DATA CENTER DAN DISASTER RECOVERY CENTER STUDI KASUS PADA DIREKTORAT PENGELOLAAN INFORMASI ADMINISTRASI KEPENDUDUKAN DITJEN KEPENDUDUKAN DAN PENCATATAN SIPIL","year":2022,"lang":"id","type":"article","venue":"IDEALIS InDonEsiA journaL Information System","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Computer science; Operating system; Humanities; Philosophy","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":[0.003761527,0.0004959241,0.0004361664,0.002679186,0.001560744,0.005384724,0.0007299136,0.0006380198,0.0151814],"category_scores_gemma":[0.01102907,0.0002736732,0.0005607979,0.004244113,0.0005370693,0.004316798,0.001759662,0.001378695,0.003543263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002273506,"about_ca_system_score_gemma":0.003508623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794139,"about_ca_topic_score_gemma":0.02255343,"domain_scores_codex":[0.996825,0.000777595,0.000325509,0.0005441996,0.001201239,0.0003265297],"domain_scores_gemma":[0.9859758,0.00512067,0.001495175,0.0009897313,0.00562387,0.0007948469],"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":[0.0005336578,0.0005907144,0.4910769,0.002658152,0.0002892104,0.0009806693,0.031916,0.002676273,0.00548954,0.01154266,0.07609944,0.3761467],"study_design_scores_gemma":[0.00004065553,0.0003696639,0.5933341,0.001314285,0.0003139572,0.0006147822,0.09326718,0.006657309,0.009292045,0.005648048,0.2890079,0.0001401585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7791814,0.004317743,0.02199647,0.01306001,0.0004602183,0.001208325,0.01848295,0.001690628,0.1596023],"genre_scores_gemma":[0.9329379,0.003211561,0.01183958,0.001301326,0.0001054628,0.0005599831,0.009694261,0.0002484853,0.04010137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01794139,"threshold_uncertainty_score":0.05078679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05082028765744429,"score_gpt":0.2750719558243657,"score_spread":0.2242516681669214,"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."}}