{"id":"W4312558719","doi":"10.1145/3524842.3527959","title":"BotHunter","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Random forest; Computer science; Commit; Classifier (UML); Login; Machine learning; Artificial intelligence; Software; Data mining; Computer security; Database","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":[0.001225563,0.00110344,0.0008380628,0.002239332,0.002147445,0.005708529,0.001703964,0.002547719,0.5529845],"category_scores_gemma":[0.005604485,0.0006070273,0.0007545491,0.002156817,0.0007061643,0.005608733,0.00446471,0.001666393,0.4665446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008662992,"about_ca_system_score_gemma":0.001673599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714485,"about_ca_topic_score_gemma":0.003637718,"domain_scores_codex":[0.9985036,0.0002118958,0.0001146881,0.0003428307,0.0005798569,0.0002471958],"domain_scores_gemma":[0.9967825,0.0005182676,0.0002426397,0.0009554862,0.00101853,0.0004824956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002667808,0.0001133645,0.002879503,0.0005827878,0.00002602257,0.0004719015,0.0004171182,0.0002845614,0.002441491,0.02753039,0.5713597,0.3936265],"study_design_scores_gemma":[0.00001442649,0.00001620009,0.0006337943,0.00007628533,0.000007653494,0.0002663341,0.00009433664,0.0002710302,0.0005858635,0.00199693,0.9960251,0.000012024],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006800496,0.002812102,0.02553828,0.004713296,0.003821658,0.0004303012,0.01535638,0.01881308,0.9217144],"genre_scores_gemma":[0.04757684,0.002242922,0.01592565,0.003920218,0.0008158573,0.0003423855,0.02385065,0.005940283,0.8993852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5529845,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005744988792029601,"score_gpt":0.217356446845387,"score_spread":0.2116114580533574,"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."}}