{"meta":{"query_hash":"fffe2ddbd771","filters":{"venue":"International journal of research studies 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/fffe2ddbd771","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+journal+of+research+studies+in+computer+science+and+engineering"},"results":[{"id":"W4247482338","doi":"10.20431/2349-4859.0701001","title":"A Robust Jamming Signal Classification and Detection Approach Based on Multi-Layer Perceptron Neural Network","year":2020,"lang":"en","type":"article","venue":"International journal of research studies in computer science and engineering","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Artificial neural network; Perceptron; Computer science; Pattern recognition (psychology); Jamming; Artificial intelligence; Multilayer perceptron; SIGNAL (programming language); Layer (electronics); Detection theory; Telecommunications; Detector; Materials science; Physics","score_opus":0.24611120285828092,"score_gpt":0.3716715553606856,"score_spread":0.12556035250240466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247482338","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":[0.012119211,0.00042007238,0.98552424,0.00015603735,0.00009939462,0.00003550503,0.000022978138,0.00077623257,0.000846293],"genre_scores_gemma":[0.611829,0.00064102386,0.37514028,0.00041832513,0.00031029896,0.00020928647,0.00026632985,0.00013211534,0.011053378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994659,0.0001019608,0.00004134451,0.00014241067,0.00016021606,0.00008815536],"domain_scores_gemma":[0.999556,0.00014317539,0.000057432077,0.00003357144,0.00018038496,0.000029451949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010265249,0.0008640856,0.001211348,0.00064524537,0.00044674697,0.0008674415,0.0017964363,0.0014528054,0.0020288301],"category_scores_gemma":[0.0013960865,0.0005450893,0.0009704993,0.00066615007,0.00045566307,0.0011768528,0.00076259254,0.0018345935,0.00079592445],"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":[0.00035345383,0.00036359852,0.0011452462,0.00015922694,0.00024458993,0.000120385805,0.00007569286,0.48886982,0.024855651,0.005863017,0.0029600225,0.47498935],"study_design_scores_gemma":[0.0000034137972,0.0000260527,0.00010008636,0.0000025866736,0.000010891914,0.000008673394,0.0000021649496,0.99845374,0.0008796549,0.00036104352,0.00014571316,0.0000060013967],"about_ca_topic_score_codex":0.0066838986,"about_ca_topic_score_gemma":0.0056929286,"teacher_disagreement_score":0.0066838986,"about_ca_system_score_codex":0.00062215346,"about_ca_system_score_gemma":0.0008707403,"threshold_uncertainty_score":0.013289988},"labels":[],"label_agreement":null}]}