{"meta":{"query_hash":"f7c7db30630c","filters":{"venue":"International journal of advanced research in computer science and electronics engineering"},"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/f7c7db30630c","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+journal+of+advanced+research+in+computer+science+and+electronics+engineering"},"results":[{"id":"W2115911565","doi":"","title":"Removal of High Density Salt & Pepper Noise in Noisy color Images using Proposed Median Filter","year":2013,"lang":"en","type":"article","venue":"International journal of advanced research in computer science and electronics engineering","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Salt-and-pepper noise; Median filter; Impulse noise; Noise spectral density; Computer science; Noise (video); Pixel; Peak signal-to-noise ratio; Filter (signal processing); Mean squared error; Image noise; Artificial intelligence; Mathematics; Algorithm; Computer vision; Statistics; Image processing; Image (mathematics); Telecommunications; Noise figure; Bandwidth (computing)","score_opus":0.023319065896229684,"score_gpt":0.3297707092674698,"score_spread":0.30645164337124015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115911565","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":[0.030759387,0.0006362048,0.9671573,0.00011527258,0.00008739786,0.00002431028,0.00004836641,0.00052039523,0.00065137027],"genre_scores_gemma":[0.22661187,0.0011608362,0.76787466,0.00013491612,0.000113133516,0.000049189355,0.00020790327,0.00007686203,0.0037706806],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999474,0.00004571824,0.00004263287,0.000104903906,0.00029536628,0.000037408598],"domain_scores_gemma":[0.99957544,0.000083671264,0.000048804082,0.00004922407,0.00022729006,0.00001561085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006008149,0.00051422475,0.00076829625,0.0008032366,0.00037413643,0.00067401765,0.00066762936,0.000959144,0.000729536],"category_scores_gemma":[0.0010767193,0.00025679407,0.0008020603,0.00070018845,0.00036603727,0.0010377151,0.000374449,0.0004977358,0.00035758765],"study_design_candidate":"bench_or_experimental","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":[0.00050386036,0.00012826604,0.0036573724,0.0006512921,0.00021018031,0.00071588514,0.00022815619,0.054688,0.35827902,0.0048642554,0.0020646672,0.57400906],"study_design_scores_gemma":[0.000045694742,0.00038811035,0.0048365393,0.000048886413,0.00019192848,0.0020680001,0.000118061274,0.5527989,0.42264864,0.0033922167,0.013364077,0.00009889736],"about_ca_topic_score_codex":0.0009717539,"about_ca_topic_score_gemma":0.0013275146,"teacher_disagreement_score":0.0009717539,"about_ca_system_score_codex":0.00030820054,"about_ca_system_score_gemma":0.0004945099,"threshold_uncertainty_score":0.003177464},"labels":[],"label_agreement":null},{"id":"W2870865805","doi":"","title":"Security alert aggregation and visualisation","year":2018,"lang":"en","type":"article","venue":"International journal of advanced research in computer science and electronics engineering","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"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 Windsor","funders":"","keywords":"Computer science; Visualization; Network security; Data mining; Data aggregator; Cluster analysis; Aggregate (composite); Network monitoring; Set (abstract data type); Computer security; Computer network; Artificial intelligence; Wireless sensor network","score_opus":0.018343941171371926,"score_gpt":0.32842729245332947,"score_spread":0.3100833512819575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2870865805","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":[0.038112037,0.0019296359,0.6619311,0.002358338,0.0010673411,0.0007389555,0.034370154,0.20691481,0.0525776],"genre_scores_gemma":[0.3329438,0.0029386056,0.5825741,0.000683112,0.0004276351,0.0011557292,0.03332462,0.014363122,0.03158927],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913377,0.00013821284,0.000086377964,0.00014720176,0.0003951699,0.00009930388],"domain_scores_gemma":[0.99841404,0.0004766956,0.00014158312,0.0002786556,0.0005720964,0.00011687477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005768,0.0015961765,0.0008736823,0.0043493477,0.0005949402,0.0034955847,0.0009512261,0.0009352157,0.023809193],"category_scores_gemma":[0.00436698,0.0005273713,0.000957538,0.0028541242,0.00028442222,0.0019358838,0.0020747394,0.0013378622,0.0063966285],"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":[0.001311245,0.0003237659,0.0076374332,0.002223291,0.00016963124,0.0010692751,0.0033337423,0.032334402,0.049959175,0.026060702,0.31226018,0.56331724],"study_design_scores_gemma":[0.00016797418,0.00023667607,0.016156055,0.00062203914,0.00014148906,0.0014187124,0.0011360799,0.33243597,0.08454627,0.04154713,0.52128273,0.00030894915],"about_ca_topic_score_codex":0.0025294553,"about_ca_topic_score_gemma":0.001605054,"teacher_disagreement_score":0.023809193,"about_ca_system_score_codex":0.00045601936,"about_ca_system_score_gemma":0.0008777213,"threshold_uncertainty_score":0.07964969},"labels":[],"label_agreement":null}]}