{"id":"W4400468642","doi":"10.22219/repositor.v3i3.31067","title":"Klasifikasi Malware Family menggunakan Metode k-Nearest Neighbor (k-NN)","year":2024,"lang":"id","type":"article","venue":"Jurnal Repositor","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Android malware; Malware; Computer science; Humanities; Artificial intelligence; Operating system; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.0007402942,0.00049863,0.0004553015,0.0004042543,0.0006461173,0.00418906,0.001389842,0.0002814784,0.0001096082],"category_scores_gemma":[0.0001920317,0.0004282691,0.0003657386,0.00132383,0.0001056395,0.003425203,0.0007048079,0.0008833573,0.002941359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817847,"about_ca_system_score_gemma":0.0008056089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001049565,"about_ca_topic_score_gemma":0.000003634824,"domain_scores_codex":[0.9957114,0.0001512469,0.001171466,0.0008195848,0.001327127,0.0008191761],"domain_scores_gemma":[0.9975734,0.0003130427,0.0002952081,0.00097579,0.0003406452,0.0005018652],"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":[0.0006225012,0.0007015977,0.005015774,0.005117542,0.002107993,0.01448561,0.0282824,0.000319037,0.03805428,0.1301433,0.3182665,0.4568835],"study_design_scores_gemma":[0.0005344572,0.0006283834,0.01011994,0.001306059,0.0001806977,0.001318974,0.0004993109,0.1248873,0.01308682,0.0001677314,0.8462468,0.001023488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2540102,0.03305618,0.3355246,0.01112347,0.08006655,0.002084147,0.0007972525,0.003030898,0.2803067],"genre_scores_gemma":[0.9370922,0.000523967,0.01133978,0.001928259,0.00609252,0.00004071946,0.0001073636,0.0001082653,0.04276691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.683082,"threshold_uncertainty_score":0.9998169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006174726313054,"score_gpt":0.2631726580476891,"score_spread":0.2431109107845585,"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."}}