{"id":"W4244224115","doi":"10.13052/2245-1439.625","title":"Rethinking the Use of Resource Hints in HTML5: Is Faster Always Better!?","year":2017,"lang":"en","type":"article","venue":"Journal of Cyber Security and Mobility","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Malware; Resource (disambiguation); Reputation; World Wide Web; Vulnerability (computing); HTML5; Computer security; Compromise; Analytics; JavaScript; Internet privacy; Data science","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":[0.007965649,0.001506378,0.0006868031,0.001520854,0.001476978,0.006665435,0.002968445,0.003945836,0.004513731],"category_scores_gemma":[0.03400061,0.001010242,0.0008129649,0.0009369253,0.004208604,0.02081963,0.004655179,0.006158654,0.004362925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443032,"about_ca_system_score_gemma":0.001330488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0033391,"about_ca_topic_score_gemma":0.003367184,"domain_scores_codex":[0.9914017,0.00316326,0.0005786598,0.0006851025,0.003378426,0.0007928713],"domain_scores_gemma":[0.9625845,0.01506991,0.002401402,0.01512917,0.003859235,0.0009558037],"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":[0.002394314,0.001055257,0.03518597,0.001699809,0.0003141687,0.005323291,0.02149292,0.01275656,0.05840863,0.2228446,0.1288674,0.5096571],"study_design_scores_gemma":[0.0001464969,0.0009379291,0.01317023,0.001550557,0.0003580447,0.004945184,0.004787872,0.1019336,0.1117026,0.1047554,0.6549253,0.0007867026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3518814,0.0100003,0.3892062,0.02726978,0.002878527,0.0008458937,0.001416053,0.1134695,0.1030324],"genre_scores_gemma":[0.8653079,0.002356869,0.09250235,0.007327786,0.0005414542,0.0001806569,0.001268101,0.009656801,0.02085808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007965649,"threshold_uncertainty_score":0.04212689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04533363533656373,"score_gpt":0.282386143697253,"score_spread":0.2370525083606893,"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."}}