{"id":"W3019986891","doi":"10.59697/jtik.v1i1.680","title":"PERANCANGAN APLIKASI KEAMANAN PESAN MENGGUNAKAN ALGORITMA ELGAMAL DENGAN MEMANFAATKAN ALGORITMA ONE TIME PAD SEBAGAI PEMBANGKIT KUNCI","year":2017,"lang":"id","type":"article","venue":"JTIK (Jurnal Teknik Informatika Kaputama)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003200094,0.001969983,0.002109672,0.001214753,0.005173463,0.009832972,0.01113036,0.0008155981,0.0003497954],"category_scores_gemma":[0.0004123557,0.00204505,0.00114945,0.00129686,0.0007923016,0.01280193,0.004278602,0.002673558,0.003743298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008144003,"about_ca_system_score_gemma":0.00114629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000353542,"about_ca_topic_score_gemma":0.0001163405,"domain_scores_codex":[0.9878342,0.0002733396,0.002784238,0.001840681,0.003572274,0.003695269],"domain_scores_gemma":[0.9893412,0.0003176731,0.002067438,0.005262653,0.0008861671,0.002124863],"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":[0.0001131712,0.0007842449,0.001375891,0.000915683,0.001019608,0.0007925021,0.02903334,0.00247583,0.003832721,0.004455961,0.01764002,0.937561],"study_design_scores_gemma":[0.003975317,0.00135277,0.03694773,0.001401336,0.0002872072,0.00117177,0.0007007422,0.8021555,0.006447869,0.000540473,0.1409626,0.004056728],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7319847,0.003099801,0.1776625,0.01083633,0.0169297,0.003862256,0.0003214491,0.003194919,0.05210838],"genre_scores_gemma":[0.8997287,0.0009592158,0.07773232,0.002381239,0.006210139,0.0001588479,0.0001311169,0.0003255268,0.01237287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9335043,"threshold_uncertainty_score":0.9996273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986888641202143,"score_gpt":0.2387230929235009,"score_spread":0.2188542065114795,"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."}}