{"id":"W4387217103","doi":"10.59697/jik.v5i1.312","title":"KOMBINASI ALGORITMA VIGENERE CIPHER DAN ONE TIME PAD PADA KEAMANAN CITRA DIGITAL","year":2021,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","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":"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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005820753,0.0008729004,0.0009385399,0.0004077737,0.0006486616,0.005664533,0.002762942,0.0003562153,0.000269508],"category_scores_gemma":[0.00009622161,0.0009122783,0.0005831292,0.002380921,0.0001846111,0.008767721,0.002120053,0.001077478,0.002371733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003148545,"about_ca_system_score_gemma":0.0008960519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003010974,"about_ca_topic_score_gemma":0.000008670893,"domain_scores_codex":[0.9938315,0.00008366866,0.001647216,0.0009188653,0.001732403,0.001786421],"domain_scores_gemma":[0.9961184,0.0001708011,0.0005082302,0.001651975,0.0005686735,0.0009818904],"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":[0.00003390904,0.0008948313,0.000849516,0.000553345,0.0006293984,0.001460676,0.01327208,0.009036283,0.00277832,0.006716209,0.02008233,0.9436931],"study_design_scores_gemma":[0.0017227,0.0005880609,0.008211402,0.0008433375,0.00008011613,0.001535576,0.0004861898,0.7840832,0.006564337,0.0005215985,0.1931629,0.002200464],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3676045,0.002224525,0.5407832,0.005152548,0.008325573,0.0008534236,0.0001164339,0.001236643,0.07370316],"genre_scores_gemma":[0.9336519,0.0006383471,0.03271944,0.004419498,0.002528633,0.00005080117,0.0002177109,0.000173065,0.02560058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9414926,"threshold_uncertainty_score":0.9993328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178243310225913,"score_gpt":0.200382952898176,"score_spread":0.1886005197959169,"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."}}