{"meta":{"query_hash":"089a05817f78","filters":{"venue":"Journal of Cyber Security"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/089a05817f78","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Cyber+Security"},"results":[{"id":"W4385899432","doi":"10.32604/jcs.2023.042486","title":"Improving Intrusion Detection in UAV Communication Using an LSTM-SMOTE Classification Method","year":2022,"lang":"en","type":"article","venue":"Journal of Cyber Security","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Jackson State University","keywords":"Computer science; Intrusion detection system; Oversampling; Artificial intelligence; Real-time computing; Data mining; Computer network; Bandwidth (computing)","score_opus":0.029768896732625495,"score_gpt":0.3158974166887242,"score_spread":0.28612851995609867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385899432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42747104,0.0010872463,0.5617295,0.0008240961,0.00050843065,0.000122032485,0.00051471853,0.004468399,0.0032744834],"genre_scores_gemma":[0.8870598,0.00023536582,0.10840332,0.0002798703,0.00010683901,0.00007450624,0.0012135912,0.00007349481,0.0025531997],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995974,0.000072279596,0.000029223516,0.00012775756,0.000089957786,0.000083467545],"domain_scores_gemma":[0.99930894,0.00025194552,0.00006848442,0.00005611198,0.00028095243,0.000033650223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076054956,0.0009734237,0.0007607503,0.00086278043,0.000376045,0.0005794024,0.00077066757,0.0008607907,0.0006833711],"category_scores_gemma":[0.0019536298,0.00023043246,0.00066860777,0.0005482085,0.00029103577,0.0009451871,0.0007007579,0.0012881487,0.00037287598],"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":[0.0004945384,0.0005916446,0.011678239,0.00015141486,0.00019008965,0.00030301578,0.0001940913,0.2973141,0.038661435,0.0016813857,0.009196826,0.63954324],"study_design_scores_gemma":[0.000004098825,0.000041549374,0.000588553,0.0000037179445,0.000011031075,0.000023740296,0.000015234865,0.9948414,0.0038324604,0.00031316114,0.00032074106,0.0000043298287],"about_ca_topic_score_codex":0.0053950227,"about_ca_topic_score_gemma":0.006372338,"teacher_disagreement_score":0.0053950227,"about_ca_system_score_codex":0.00044209138,"about_ca_system_score_gemma":0.00065831176,"threshold_uncertainty_score":0.010727227},"labels":[],"label_agreement":null},{"id":"W4385958000","doi":"10.32604/jcs.2023.042501","title":"Comparative Analysis of Machine Learning Models for PDF Malware Detection: Evaluating Different Training and Testing Criteria","year":2023,"lang":"en","type":"article","venue":"Journal of Cyber Security","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Malware; Support vector machine; Naive Bayes classifier; Random forest; Machine learning; Exploit; Artificial intelligence; Scripting language; Data mining; Computer security; Operating system","score_opus":0.12815784082108836,"score_gpt":0.3764114026187327,"score_spread":0.24825356179764432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385958000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8428567,0.013500671,0.12906551,0.0012464544,0.0005286008,0.0005740732,0.0024076453,0.0032291035,0.006591122],"genre_scores_gemma":[0.92800105,0.0019549471,0.064808,0.0001749179,0.000097552016,0.00029362092,0.0031414798,0.00012852036,0.0013998939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940177,0.0025999038,0.0007425847,0.00082330086,0.0014555654,0.00036082786],"domain_scores_gemma":[0.9614922,0.030916283,0.0014167097,0.0013479288,0.004472176,0.00035467398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012444759,0.002614772,0.0018550334,0.004620836,0.0008115643,0.0016415141,0.0014846234,0.0016888429,0.00081163],"category_scores_gemma":[0.026054617,0.0003850846,0.0016009131,0.0022834125,0.00056809105,0.0022577646,0.0008301463,0.0015629104,0.0005381895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022778213,0.001389794,0.060815662,0.0011366294,0.00095427694,0.00025192695,0.00025431262,0.58221436,0.0029042736,0.0014178852,0.0048425454,0.34154055],"study_design_scores_gemma":[0.000033372322,0.0007001886,0.00918424,0.000103823346,0.0001621284,0.00011342786,0.00015057536,0.9837001,0.0044750916,0.0006468452,0.0006887248,0.000041447256],"about_ca_topic_score_codex":0.012583414,"about_ca_topic_score_gemma":0.010435731,"teacher_disagreement_score":0.012583414,"about_ca_system_score_codex":0.0017812704,"about_ca_system_score_gemma":0.0013335358,"threshold_uncertainty_score":0.06581497},"labels":[],"label_agreement":null}]}