{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004911036,0.0005990783,0.000585399,0.0005931646,0.00058009,0.001810722,0.0005193162,0.0007786827,0.01341405],"category_scores_gemma":[0.00112516,0.0002053056,0.0004435188,0.0005884198,0.0005210782,0.002179087,0.000808136,0.0009322038,0.005084683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000727211,"about_ca_system_score_gemma":0.0006879347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008538073,"about_ca_topic_score_gemma":0.0009093103,"domain_scores_codex":[0.9992579,0.0001028246,0.00006145419,0.0001565154,0.0003018248,0.0001195044],"domain_scores_gemma":[0.9993912,0.0001253149,0.00006375105,0.0002002255,0.0001857073,0.00003372059],"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":[0.002100707,0.0002080212,0.002240624,0.001044736,0.0001530983,0.0009047384,0.0007314878,0.008449419,0.3684289,0.04403702,0.02630297,0.5453983],"study_design_scores_gemma":[0.000204798,0.001506112,0.003751183,0.0002273876,0.000209952,0.003710398,0.0005289829,0.06676581,0.5234882,0.01409214,0.3853686,0.0001463692],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2265314,0.0212224,0.57774,0.003187216,0.002161037,0.001101581,0.001641693,0.01447864,0.151936],"genre_scores_gemma":[0.7508658,0.00504091,0.09190539,0.0009541634,0.0003145078,0.0003500347,0.001126116,0.0004989059,0.1489441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01341405,"threshold_uncertainty_score":0.04487449,"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."}}