{"id":"W4391938384","doi":"10.59697/jtik.v6i2.216","title":"IMPLEMENTASI ALGORITMA OTP DAN STEGANOGRAFI EOF DALAM PENYISIPAN PESAN TEKS PADA CITRA","year":2022,"lang":"id","type":"article","venue":"JTIK (Jurnal Teknik Informatika Kaputama)","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":"Art; 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","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002555677,0.001240971,0.001147121,0.00127363,0.002943505,0.003080007,0.006904248,0.0002188602,0.0005519764],"category_scores_gemma":[0.00006111444,0.001321757,0.0008026151,0.003595243,0.0002437712,0.00597612,0.006236387,0.00248852,0.0003042707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023017,"about_ca_system_score_gemma":0.001112894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001746285,"about_ca_topic_score_gemma":0.000043371,"domain_scores_codex":[0.9894153,0.0003115834,0.002571392,0.001246432,0.003551487,0.002903746],"domain_scores_gemma":[0.9949271,0.0002752886,0.001101926,0.002215234,0.0002993644,0.001181056],"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":[0.0001274312,0.001156766,0.005540856,0.0008841397,0.0008519365,0.001054953,0.06024922,0.03380404,0.002381089,0.01755841,0.0668783,0.8095129],"study_design_scores_gemma":[0.002492319,0.001828944,0.008655386,0.0001747881,0.0001168443,0.002040859,0.005539944,0.4235525,0.001764458,0.000331078,0.5511103,0.002392638],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5716847,0.003041293,0.3513804,0.006422249,0.02653693,0.004129557,0.0004863895,0.002877668,0.03344089],"genre_scores_gemma":[0.9738139,0.0002697296,0.01817875,0.002875384,0.001459771,0.0002675208,0.000184746,0.000144409,0.002805787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8071202,"threshold_uncertainty_score":0.9998128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644945574801688,"score_gpt":0.2381368470125217,"score_spread":0.2216873912645048,"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."}}