{"id":"W4387216869","doi":"10.59697/jik.v2i1.433","title":"ANALISA ALGORITMA ELGAMAL DALAM PENYANDIAN DATA SEBAGAI KEAMANAN DATABASE","year":2018,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Database; Operating system","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003632203,0.001051042,0.001097032,0.001216285,0.001371254,0.002015047,0.01080873,0.0007869518,0.0006212636],"category_scores_gemma":[0.0007302837,0.001027885,0.0002693457,0.002478353,0.001189397,0.01218115,0.006696939,0.001655242,0.007401978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003701148,"about_ca_system_score_gemma":0.001331349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003920035,"about_ca_topic_score_gemma":0.0004258708,"domain_scores_codex":[0.9911044,0.0003700073,0.002779446,0.001482178,0.002360174,0.001903845],"domain_scores_gemma":[0.9892737,0.0004076552,0.001729036,0.006714994,0.0009929156,0.0008816598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002846885,0.001132771,0.01734699,0.001197469,0.002206207,0.0009444042,0.01442786,0.0001086545,0.0009876696,0.1181341,0.671275,0.1719541],"study_design_scores_gemma":[0.00254597,0.000998409,0.01041176,0.000861063,0.0002320901,0.001758061,0.001069564,0.3683744,0.001495991,0.0006376923,0.609743,0.001871975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2201367,0.005331306,0.456172,0.02988768,0.03746274,0.007147336,0.008053869,0.004673484,0.2311349],"genre_scores_gemma":[0.9309918,0.00047958,0.03978406,0.005926541,0.007294134,0.00009650508,0.004015313,0.0001886838,0.01122338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7108551,"threshold_uncertainty_score":0.9999288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06036008029892474,"score_gpt":0.3114478069273863,"score_spread":0.2510877266284615,"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."}}