{"meta":{"query_hash":"87ed0258fb24","filters":{"venue":"Advances in computer science and engineering"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/87ed0258fb24","api":"https://metacan.xera.ac/api/v1/cohort?venue=Advances+in+computer+science+and+engineering"},"results":[{"id":"W2500969695","doi":"10.1142/9781848163874_0002","title":"THE USE OF EVOLUTIONARY COMPUTATION IN KNOWLEDGE DISCOVERY: THE EXAMPLE OF INTRUSION DETECTION SYSTEMS","year":2010,"lang":"en","type":"book-chapter","venue":"Advances in computer science and engineering","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Intrusion detection system; Computer science; Computational biology; Artificial intelligence; Biology","score_opus":0.049739417893607474,"score_gpt":0.2872510059296987,"score_spread":0.23751158803609124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2500969695","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":[0.0333838,0.010175016,0.94887537,0.00008216336,0.0049035563,0.00064383826,0.000004646824,0.00004141176,0.0018901943],"genre_scores_gemma":[0.9946234,0.00082846987,0.0033146997,0.000004632895,0.00009334591,0.000011275301,9.2012345e-7,0.000010715633,0.0011124945],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983995,0.000020824293,0.0005464327,0.00034863592,0.00051882706,0.00016579856],"domain_scores_gemma":[0.99778795,0.0013453532,0.00024867157,0.00036682028,0.0002329525,0.00001823673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016126932,0.00013294004,0.00024578607,0.0007073348,0.00013060658,0.0001441618,0.00067168876,0.00009176013,6.0969523e-7],"category_scores_gemma":[0.00027500902,0.0000792926,0.000032289157,0.00061632454,0.0006536728,0.0009142355,0.00052792864,0.00027377164,0.0000017945684],"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":[0.000008608062,0.000011872687,0.00032076868,0.000044925386,0.0000041554003,0.0000013977888,0.00026322537,0.097510606,0.0003300551,0.0813363,0.000016104694,0.820152],"study_design_scores_gemma":[0.00012469907,0.00006660279,0.001979455,0.0002197992,0.0000042654297,0.0000056935623,0.000023491464,0.83898234,0.00012972536,0.01521274,0.14311486,0.00013629552],"about_ca_topic_score_codex":0.000042791053,"about_ca_topic_score_gemma":0.00037295365,"teacher_disagreement_score":0.96123964,"about_ca_system_score_codex":0.000054635046,"about_ca_system_score_gemma":0.000041571744,"threshold_uncertainty_score":0.32334584},"labels":[],"label_agreement":null}]}