{"id":"W3005039070","doi":"10.59697/jsik.v3i1.769","title":"IMPLEMENTASI SUPER ENKRIPSI ALGORITMA ONE TIME PAD (OTP) DAN BEAUFORT CHIPER UNTUK MENGAMANKAN DATA","year":2019,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Beaufort scale; Computer science; Geography; Meteorology","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002690771,0.001220252,0.001371556,0.000633652,0.0007582328,0.002433508,0.008734774,0.0004187197,0.0004770036],"category_scores_gemma":[0.00005197091,0.001197065,0.0005128416,0.001762767,0.0001893482,0.009157045,0.006773151,0.001399832,0.002776447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005066994,"about_ca_system_score_gemma":0.0007409402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006108594,"about_ca_topic_score_gemma":0.00003347417,"domain_scores_codex":[0.9904794,0.0001552692,0.002324584,0.001878728,0.002512391,0.002649683],"domain_scores_gemma":[0.9929435,0.0002398773,0.0006629288,0.004709066,0.0003360369,0.001108621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001959064,0.001469818,0.03213547,0.001781411,0.002058284,0.0004544328,0.01744072,0.005146919,0.007461843,0.02157021,0.01926135,0.8910236],"study_design_scores_gemma":[0.002327441,0.0008963289,0.02788599,0.0005294828,0.0001426081,0.000520987,0.0003438887,0.4286535,0.001193747,0.00004725328,0.5354778,0.001980981],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7531867,0.004161707,0.1199184,0.00690221,0.0220107,0.006101476,0.0004860339,0.002409532,0.08482329],"genre_scores_gemma":[0.9353282,0.0008022308,0.03302652,0.004156771,0.003409003,0.00008479421,0.001243073,0.0002585628,0.02169078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8890427,"threshold_uncertainty_score":0.9990479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713191485539293,"score_gpt":0.2424561026316022,"score_spread":0.2153241877762093,"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."}}