{"id":"W4387216857","doi":"10.59697/jik.v4i1.343","title":"EKSTRAKSI CITRA PADA PROSES KEAMANAN KRIPTOGRAFI MEMANFAATKAN ALGORITMA SECURE HASH (SHA)","year":2020,"lang":"en","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Hash function; Computer science; Encryption; Byte; The Internet; Cryptography; Computer security; Cryptographic hash function; String (physics); Image (mathematics); Process (computing); Theoretical computer science; Computer hardware; World Wide Web; Artificial intelligence; Operating system; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.0003809213,0.0004843662,0.0004817176,0.0002775381,0.000378493,0.001547354,0.002816462,0.0001574733,0.00005204185],"category_scores_gemma":[0.00005091541,0.0004366342,0.0002782936,0.001621346,0.00008437419,0.004760238,0.0008700963,0.0006595755,0.0002829744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007721903,"about_ca_system_score_gemma":0.0002190375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002781498,"about_ca_topic_score_gemma":0.000007517989,"domain_scores_codex":[0.9965392,0.00003594112,0.0008921331,0.0005385559,0.001024268,0.0009698538],"domain_scores_gemma":[0.9980179,0.00006961007,0.0002785995,0.0007209883,0.0001698934,0.0007430149],"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":[0.00003807046,0.0001981018,0.00121343,0.0007026715,0.000255805,0.0003472867,0.04005228,0.02850532,0.001739191,0.0467959,0.05305871,0.8270932],"study_design_scores_gemma":[0.000697092,0.0003735077,0.00222606,0.0001093346,0.00001504759,0.0001914779,0.0002438607,0.8543848,0.002029213,0.0005233747,0.1384297,0.000776469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08406425,0.0002695356,0.8940452,0.007986361,0.001819143,0.0005964159,0.00001866426,0.001456674,0.009743812],"genre_scores_gemma":[0.9299375,0.00006052072,0.06317925,0.005803412,0.0007955109,0.00003677046,0.00001505658,0.00003339886,0.0001385285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8458733,"threshold_uncertainty_score":0.9998085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590861981869831,"score_gpt":0.204545029216145,"score_spread":0.1886364093974467,"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."}}