{"id":"W3115101871","doi":"10.1109/isncc49221.2020.9297210","title":"Unmasking Magnet, a Novel Malware on Facebook","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Trojan; Malware; Computer science; Computer security; Feature (linguistics)","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":[0.0001178977,0.0003145747,0.0001756889,0.0003808041,0.0007221596,0.0004940409,0.0002207625,0.0005405894,0.001227315],"category_scores_gemma":[0.0009083417,0.0001050918,0.0001875482,0.0001496038,0.0005438962,0.0008968954,0.0005148322,0.0004168081,0.0003693769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285279,"about_ca_system_score_gemma":0.0002146778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008591658,"about_ca_topic_score_gemma":0.001577509,"domain_scores_codex":[0.9997688,0.00002628139,0.000004903765,0.00002581067,0.0001174477,0.00005680186],"domain_scores_gemma":[0.9995899,0.0001761186,0.00008522817,0.00005527075,0.00005828365,0.00003527229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001137268,0.0004332564,0.04897749,0.0008878169,0.0001550358,0.008679403,0.002914095,0.04530092,0.5003833,0.07926186,0.04213133,0.2697383],"study_design_scores_gemma":[0.00006645494,0.001305723,0.0211299,0.0001593508,0.0001334809,0.00933805,0.001075063,0.5124087,0.3660763,0.01265422,0.07548706,0.0001656914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934814,0.001266071,0.02698263,0.001396997,0.0004909635,0.0001429685,0.0002319378,0.00153306,0.03314141],"genre_scores_gemma":[0.9898236,0.0002815843,0.005778638,0.0001751375,0.00005710266,0.00002532002,0.00006970284,0.00002826431,0.003760593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001227315,"threshold_uncertainty_score":0.004105806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03613373352468442,"score_gpt":0.2427906220462815,"score_spread":0.2066568885215971,"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."}}