{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003986003,0.0008549182,0.0004919992,0.0005600231,0.0006332138,0.001717934,0.0009492614,0.0005851809,0.0181203],"category_scores_gemma":[0.0009341278,0.0003223578,0.0004309685,0.0005728793,0.0004342973,0.001936081,0.000926061,0.0009432822,0.00460819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007755768,"about_ca_system_score_gemma":0.0009326959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001862116,"about_ca_topic_score_gemma":0.002972436,"domain_scores_codex":[0.9994826,0.00005928563,0.00004571567,0.0001170278,0.0001982714,0.00009702802],"domain_scores_gemma":[0.9994754,0.0001054552,0.00004271139,0.0001737287,0.0001696449,0.00003304997],"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":[0.001502913,0.0001654055,0.002206106,0.0008214338,0.0001226667,0.0009233502,0.0008040082,0.01012026,0.4115585,0.02900729,0.02383333,0.5189348],"study_design_scores_gemma":[0.000178502,0.001143905,0.003006593,0.0001688166,0.0002594253,0.002618884,0.0007703065,0.1337998,0.591576,0.01720649,0.2491192,0.0001520235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09808214,0.003155005,0.825272,0.001028324,0.001019755,0.0004059524,0.0009383703,0.01587918,0.05421939],"genre_scores_gemma":[0.5771445,0.001763829,0.3330839,0.0008914474,0.0002741258,0.0003659452,0.001237815,0.001112121,0.08412634],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0181203,"threshold_uncertainty_score":0.0606184,"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."}}