{"id":"W3047224464","doi":"","title":"IMPLEMENTASI ALGORITMA KRIPTOGRAFI MODULAR MULTIPLICATION – BASED BLOCK CIPHER (MMB) PADA KEAMANAN DATA","year":2020,"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":"Computer science; Operating system","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.0005112309,0.0004742739,0.0003921783,0.0001307839,0.0002958352,0.0008983971,0.005882145,0.0001136373,0.0001798705],"category_scores_gemma":[0.00004960262,0.0004807497,0.0001410746,0.001619172,0.00006695995,0.001636574,0.003154231,0.0002974508,0.0003977398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007552112,"about_ca_system_score_gemma":0.0002180865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002955272,"about_ca_topic_score_gemma":0.00005967868,"domain_scores_codex":[0.9955956,0.00008415799,0.0006636387,0.001910817,0.0008302238,0.0009155351],"domain_scores_gemma":[0.9958419,0.00008757574,0.0001586396,0.003133198,0.0001304716,0.0006482645],"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":[0.00004287256,0.0008045686,0.002926859,0.0005175084,0.0003637246,0.0002308733,0.004889756,0.06337407,0.02848791,0.004302637,0.1415953,0.7524639],"study_design_scores_gemma":[0.0006372184,0.0001779449,0.001312909,0.00002883623,0.00002718848,0.000006253269,0.00005311578,0.8754135,0.002125177,0.00002007268,0.1196666,0.0005311145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004565218,0.0002888874,0.9790483,0.0136822,0.0009186715,0.000529027,0.00004537895,0.0005208795,0.000401498],"genre_scores_gemma":[0.7372243,0.00004183448,0.2558323,0.00567501,0.0007105698,0.00002533698,0.0001689229,0.00004571795,0.0002760001],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8120395,"threshold_uncertainty_score":0.9997644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0659440634511585,"score_gpt":0.2697137564980138,"score_spread":0.2037696930468553,"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."}}