{"id":"W2997651435","doi":"","title":"ENKRIPSI PESAN TEKS DENGAN ALGORITMA ONE TIME PAD XOR DAN STEGANOGRAFI PADA CITRA GAMBAR DENGAN LEAST SIGNIFICANT BIT","year":2018,"lang":"id","type":"article","venue":"","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Art; Humanities","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":[0.001415321,0.001048454,0.0009539516,0.000666391,0.00103481,0.00221993,0.004659317,0.000365131,0.0003243262],"category_scores_gemma":[0.0000770235,0.001031322,0.0004180231,0.002761096,0.0006640897,0.001946096,0.001611695,0.0009384403,0.002788641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291176,"about_ca_system_score_gemma":0.0005294864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003146174,"about_ca_topic_score_gemma":0.0001551482,"domain_scores_codex":[0.99234,0.0002843555,0.001154554,0.002245898,0.001613928,0.002361211],"domain_scores_gemma":[0.9952666,0.0002602639,0.0002905929,0.002452227,0.0004658451,0.001264488],"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":[0.00007056533,0.002069263,0.002293108,0.0003934189,0.0007226063,0.0008370178,0.01986026,0.000849989,0.3760461,0.01058805,0.01915974,0.5671099],"study_design_scores_gemma":[0.001361701,0.002188091,0.0119641,0.0004904344,0.0001316146,0.0002514703,0.0005434497,0.8266764,0.1155178,0.0002509334,0.03773383,0.002890193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2730514,0.0003696449,0.713143,0.00144945,0.004020971,0.0008715911,0.00001532228,0.00138658,0.005692116],"genre_scores_gemma":[0.9142837,0.00006451808,0.07423516,0.0007682136,0.002194882,0.00002930774,0.00001173921,0.00009934355,0.008313163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8258263,"threshold_uncertainty_score":0.9992137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981848819356362,"score_gpt":0.2160060373501644,"score_spread":0.1961875491566007,"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."}}