{"id":"W4308411481","doi":"10.1145/3548606.3563522","title":"Poster","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Session (web analytics); Computer science; Task (project management); Relevance (law); World Wide Web; Multimedia","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":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.000347699,0.0001406189,0.0001713982,0.0001219408,0.0007597982,0.0001209182,0.006173151,0.00003116058,0.00002781822],"category_scores_gemma":[0.00005515477,0.0001234847,0.0000763165,0.0005269449,0.0001591877,0.0003275135,0.01215698,0.0005545222,0.000001582571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005407452,"about_ca_system_score_gemma":0.00004351529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000142255,"about_ca_topic_score_gemma":0.000002650094,"domain_scores_codex":[0.9988806,0.00006178805,0.0002531911,0.0003172655,0.0003234048,0.0001637613],"domain_scores_gemma":[0.9977963,0.0001485296,0.0002372933,0.001514876,0.0002533588,0.00004965661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002221513,0.0003420712,0.001165048,0.00003944432,0.00003150665,3.095768e-7,0.003505681,0.000006425525,0.002923111,0.938616,0.003046292,0.05030192],"study_design_scores_gemma":[0.0007644088,0.001154688,0.005352184,0.00009245839,0.00003128675,0.0001559769,0.0006149348,0.08610149,0.02288403,0.8462649,0.03578309,0.0008005238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5589339,0.002470297,0.1692604,0.1795297,0.003093177,0.006337149,0.0003158523,0.004489213,0.07557026],"genre_scores_gemma":[0.9752514,0.00009995822,0.02372527,0.0006984347,0.00001481994,0.0001352309,0.000001655156,0.000008067399,0.00006515931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4163175,"threshold_uncertainty_score":0.9992039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796351804801024,"score_gpt":0.2681586636866604,"score_spread":0.2401951456386502,"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."}}