{"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":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035066195,0.025551412,0.8317957,0.008558825,0.00045763786,0.00011589093,0.00014773423,0.00033024483,0.09797635],"genre_scores_gemma":[0.3066662,0.014019823,0.6592029,0.0009114187,0.0002763358,0.00009756908,0.00017223174,0.00011165738,0.018541884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931073,0.0003250528,0.00003620568,0.00008114812,0.0002103568,0.00003645507],"domain_scores_gemma":[0.99671704,0.0028372938,0.000050964925,0.00017806362,0.0001690793,0.00004747931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002147832,0.00056848075,0.00082444993,0.0013636216,0.00076487305,0.0029477475,0.001159982,0.0014290356,0.0018951893],"category_scores_gemma":[0.0060864063,0.0002907662,0.0006274625,0.002321524,0.0027340893,0.002528623,0.0011664002,0.0017844688,0.00038861012],"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":[0.00006230116,0.00009788961,0.0013820647,0.00042562024,0.0001760577,0.00043007624,0.0008651813,0.05220297,0.0022164593,0.5884044,0.0066622123,0.34707478],"study_design_scores_gemma":[0.000021569978,0.000055574106,0.0007320753,0.00015918643,0.000052041756,0.00043085543,0.00023952886,0.1695358,0.002230981,0.78058636,0.045923345,0.000032712607],"about_ca_topic_score_codex":0.0020836785,"about_ca_topic_score_gemma":0.0030381975,"teacher_disagreement_score":0.0029477475,"about_ca_system_score_codex":0.0007829738,"about_ca_system_score_gemma":0.0007527522,"threshold_uncertainty_score":0.011358976},"labels":[],"label_agreement":null}]}