{"id":"W4387217123","doi":"10.59697/jik.v5i1.307","title":"PENERAPAN ALGORITMA RIVEST SHAMIR ADLEMAN (RSA) UNTUK MENGAMANKAN DATABASE PROGRAM KELUARGA HARAPAN (PKH)","year":2021,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Database","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":[0.004774568,0.00135469,0.001254238,0.001911231,0.001854769,0.006713215,0.002246769,0.001716489,0.02716696],"category_scores_gemma":[0.009184842,0.0009179229,0.001391719,0.002189655,0.001678788,0.00731755,0.003070703,0.003332175,0.01942642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017316,"about_ca_system_score_gemma":0.002883662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706835,"about_ca_topic_score_gemma":0.001258148,"domain_scores_codex":[0.9938486,0.001209462,0.0007132347,0.001076912,0.002571503,0.0005802993],"domain_scores_gemma":[0.9918887,0.001658267,0.0007154666,0.003133789,0.00235562,0.0002481125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001855726,0.0003363951,0.003233679,0.002330253,0.0003200566,0.0006395156,0.001704516,0.004480647,0.07248923,0.1332092,0.07221816,0.7071827],"study_design_scores_gemma":[0.0003146403,0.0009480549,0.002128686,0.0005527847,0.0003564182,0.002486019,0.0008536659,0.02182597,0.1179749,0.03521417,0.8170903,0.0002543453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02890678,0.0104537,0.8203669,0.004461848,0.00245638,0.001554427,0.002526015,0.0267305,0.1025434],"genre_scores_gemma":[0.2854549,0.01320865,0.4934646,0.004261132,0.001808574,0.001736673,0.005073723,0.00358744,0.1914043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02716696,"threshold_uncertainty_score":0.09088254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095332909535596,"score_gpt":0.2623368502870094,"score_spread":0.2413835211916534,"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."}}