{"meta":{"query_hash":"775274601d62","filters":{"venue":"Network and Distributed System Security Symposium"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/775274601d62","api":"https://metacan.xera.ac/api/v1/cohort?venue=Network+and+Distributed+System+Security+Symposium"},"results":[{"id":"W2128031609","doi":"","title":"Army of Botnets","year":2007,"lang":"en","type":"article","venue":"Network and Distributed System Security Symposium","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Botnet; Computer security; Adversary; Computer science; Command and control; Telecommunications; World Wide Web; The Internet","score_opus":0.006135995132162434,"score_gpt":0.21015693044191142,"score_spread":0.204020935309749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128031609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11801545,0.0022205273,0.86663336,0.00038968082,0.002467838,0.00050171063,0.000045707005,0.00054484996,0.009180884],"genre_scores_gemma":[0.99832606,0.00008991557,0.0009392735,0.00007299284,0.0005125806,0.000006295614,0.000029623106,0.000009212937,0.000014038597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978874,0.00012744383,0.0006202058,0.00044476637,0.0003675,0.0005527262],"domain_scores_gemma":[0.9986096,0.00017898598,0.00028292305,0.00052358257,0.00016374576,0.00024118581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013157569,0.0002164481,0.0003726064,0.00008214508,0.00026815306,0.00010224521,0.00046015746,0.00021859689,0.0000057059315],"category_scores_gemma":[0.0000143700345,0.00020766765,0.00010468606,0.0007820348,0.000078394085,0.00031736237,0.00026734459,0.00022526729,0.000009854161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030935107,0.00035753552,0.010121475,0.0009228728,0.00018125674,0.00014710847,0.0028555768,0.0033509817,0.0019252482,0.9440686,0.025182271,0.010577714],"study_design_scores_gemma":[0.00509078,0.0018527255,0.018073631,0.0017903193,0.00020495645,0.0013098321,0.0013545364,0.68956804,0.013597822,0.024795523,0.23962039,0.002741477],"about_ca_topic_score_codex":0.00006744984,"about_ca_topic_score_gemma":0.000051254003,"teacher_disagreement_score":0.9192731,"about_ca_system_score_codex":0.000066065084,"about_ca_system_score_gemma":0.000032949767,"threshold_uncertainty_score":0.8468441},"labels":[],"label_agreement":null},{"id":"W2575714565","doi":"","title":"Killed by Proxy: Analyzing Client-end TLS Interce.","year":2016,"lang":"en","type":"article","venue":"Network and Distributed System Security Symposium","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Proxy (statistics); Computer security","score_opus":0.003860537646584409,"score_gpt":0.20185295038285253,"score_spread":0.1979924127362681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2575714565","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3441889,0.0028994041,0.639948,0.0033511824,0.0040097404,0.0015667675,0.0004086676,0.0017456753,0.0018816462],"genre_scores_gemma":[0.99892896,0.00013545058,0.00021298567,0.000068724774,0.0004041857,0.00007198708,0.00006357654,0.00001667008,0.000097480675],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99682367,0.00031766368,0.0007571595,0.0008881287,0.00041760757,0.000795798],"domain_scores_gemma":[0.9979583,0.0002571476,0.00029586512,0.000946437,0.00019372345,0.00034855295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011191885,0.0003674022,0.00058708113,0.00006530345,0.0004186231,0.00028798365,0.00076468417,0.00026295087,0.000011226004],"category_scores_gemma":[0.000038602142,0.00023703398,0.0001627149,0.00057765894,0.00012003435,0.0006486642,0.00043388718,0.00018059116,0.000064272404],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031950825,0.000607797,0.7099225,0.002601428,0.0006179771,0.00010812623,0.0040289816,0.00027295476,0.0038242147,0.046261344,0.21360677,0.01782841],"study_design_scores_gemma":[0.026058398,0.0034432022,0.03246958,0.0173469,0.0007347512,0.001729152,0.0024730458,0.26872003,0.008283407,0.008839071,0.61923945,0.010662974],"about_ca_topic_score_codex":0.000054551303,"about_ca_topic_score_gemma":0.000010530845,"teacher_disagreement_score":0.6774529,"about_ca_system_score_codex":0.00023623226,"about_ca_system_score_gemma":0.00006962074,"threshold_uncertainty_score":0.96659654},"labels":[],"label_agreement":null},{"id":"W3168804","doi":"","title":"Two-Party Computation Model for Privacy-Preserving Queries over Distributed Databases.","year":2009,"lang":"en","type":"article","venue":"Network and Distributed System Security Symposium","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scalability; Cryptography; Key (lock); Private information retrieval; Protocol (science); Information privacy; Database; Computer security; Computation; Cryptographic primitive; Secure multi-party computation; Distributed database; Information sensitivity; Cryptographic protocol; Distributed computing; Algorithm","score_opus":0.017368739219064636,"score_gpt":0.26339243087163244,"score_spread":0.24602369165256782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015269336,0.0007927599,0.9755897,0.00077784614,0.00045403748,0.00089649664,0.00534181,0.00064809364,0.00022992239],"genre_scores_gemma":[0.9738946,0.000054072294,0.018261919,0.00021694478,0.0003543709,0.00006143463,0.007139396,0.000015261061,0.0000019868473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968153,0.00018711462,0.00071444426,0.0009830133,0.00044414555,0.000855943],"domain_scores_gemma":[0.9976674,0.0002777031,0.00033412993,0.0010954943,0.00025589368,0.00036939335],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007589296,0.0004494727,0.00058540486,0.00008872246,0.0007958045,0.00060459366,0.00095398806,0.00016036032,0.0000021820777],"category_scores_gemma":[0.00006177524,0.00044220156,0.00020035503,0.0007928858,0.00008402498,0.0014688494,0.00059882825,0.00025699445,0.0000022611687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002509715,0.0003252923,0.003001473,0.00052043214,0.00010157492,0.000023164941,0.0015607524,0.05322176,0.0002209797,0.87972206,0.060352508,0.0006990249],"study_design_scores_gemma":[0.0014749959,0.00010704083,0.0009264954,0.00017822941,0.000057882422,0.00002864864,0.00011228353,0.96678746,0.00005352515,0.024696685,0.005059358,0.0005174012],"about_ca_topic_score_codex":0.00008970177,"about_ca_topic_score_gemma":0.00008126771,"teacher_disagreement_score":0.95862526,"about_ca_system_score_codex":0.000104089035,"about_ca_system_score_gemma":0.00009790736,"threshold_uncertainty_score":0.99980295},"labels":[],"label_agreement":null}]}