{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008151497,0.0007812998,0.0006406469,0.001194059,0.001276773,0.003365552,0.0007064426,0.001225619,0.05649524],"category_scores_gemma":[0.001761498,0.0003883931,0.0004327864,0.001456801,0.0008608461,0.003724264,0.001428972,0.001832331,0.02886527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009119423,"about_ca_system_score_gemma":0.001506247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206154,"about_ca_topic_score_gemma":0.00104816,"domain_scores_codex":[0.9993653,0.0001229308,0.00005764817,0.0001478663,0.0002366696,0.00006953922],"domain_scores_gemma":[0.9992024,0.0002023625,0.0000472078,0.0001214963,0.0003835539,0.00004306286],"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":[0.0007448411,0.0001672011,0.001609904,0.001504048,0.00006413933,0.001831213,0.001312307,0.00300193,0.02112289,0.07442444,0.07561219,0.8186049],"study_design_scores_gemma":[0.00003826155,0.0002083568,0.001619582,0.000431753,0.00008767743,0.004095029,0.001026806,0.004402415,0.02250918,0.02231476,0.9431722,0.00009403734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05352962,0.06854676,0.1946398,0.009502374,0.009742803,0.000537593,0.003024712,0.004529837,0.6559466],"genre_scores_gemma":[0.351013,0.05917758,0.1148193,0.001976828,0.002000598,0.000364807,0.003399117,0.0009981913,0.4662506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05649524,"threshold_uncertainty_score":0.1889954,"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."}}