{"id":"W2968882167","doi":"10.17605/osf.io/45zhq","title":"ALGORITMA VIGENERE CIPHER DAN HILL CIPHER DALAM APLIKASI KEAMANAN DATA PADA FILE DOKUMEN","year":2018,"lang":"id","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Cipher; Stream cipher; Arithmetic; Cryptography; Mathematics; Algorithm; Operating system; Encryption","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":[0.0008261895,0.0007673081,0.0006754086,0.001099459,0.0008959758,0.002156762,0.0007475299,0.0008350692,0.01458033],"category_scores_gemma":[0.002098185,0.00031899,0.0006603046,0.001070874,0.0007878784,0.003777397,0.001083663,0.001039978,0.006946065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104197,"about_ca_system_score_gemma":0.00130517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149504,"about_ca_topic_score_gemma":0.001003753,"domain_scores_codex":[0.9990102,0.000143792,0.0001112624,0.0001785462,0.0004173811,0.0001387389],"domain_scores_gemma":[0.9986865,0.000279332,0.0001447461,0.0004193854,0.0004189602,0.00005108395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002041019,0.0002468102,0.003793843,0.002150211,0.0002136985,0.001153684,0.0009537889,0.0156025,0.2190682,0.1085177,0.04825903,0.5979995],"study_design_scores_gemma":[0.0002634039,0.001312507,0.003943529,0.0003353189,0.0002314409,0.00489967,0.000670388,0.0796707,0.4002337,0.03072353,0.4775276,0.0001881639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1287119,0.01187496,0.6978346,0.003637982,0.001542087,0.001906173,0.002817092,0.014154,0.1375212],"genre_scores_gemma":[0.5892307,0.007871129,0.2148636,0.001381889,0.0005071302,0.0008255156,0.002831328,0.00106391,0.1814248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01458033,"threshold_uncertainty_score":0.04877609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377706939827507,"score_gpt":0.2508253866854369,"score_spread":0.2270483172871618,"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."}}