{"meta":{"query_hash":"b0a9b3e90e46","filters":{"venue":"Journal of Communications Technology and Electronics"},"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/b0a9b3e90e46","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Communications+Technology+and+Electronics"},"results":[{"id":"W1966719802","doi":"10.1134/s1064226915030079","title":"Invariant algorithms for signal detection in radar systems with digital television illumination","year":2015,"lang":"en","type":"article","venue":"Journal of Communications Technology and Electronics","topic":"Advanced Measurement and Detection Methods","field":"Engineering","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":"Vector Institute","funders":"","keywords":"Radar; Algorithm; Robustness (evolution); Computer science; Nonparametric statistics; Invariant (physics); A priori and a posteriori; Parametric statistics; Detection theory; Signal processing; Radar detection; Mathematics; Telecommunications; Statistics","score_opus":0.02974975243030696,"score_gpt":0.2789369023253233,"score_spread":0.24918714989501634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966719802","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":[0.0023470193,0.00008457665,0.9970872,0.000016658942,0.000010987329,0.000009709174,0.000007792039,0.000110058034,0.00032604078],"genre_scores_gemma":[0.17285664,0.0005362639,0.8241274,0.000079224024,0.00009307838,0.0001623178,0.00015194289,0.00011806675,0.001875052],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910444,0.00032657708,0.000048024027,0.000120666096,0.00032952696,0.00007073037],"domain_scores_gemma":[0.9984066,0.0009430383,0.00022858087,0.00015984003,0.00023078024,0.000031124804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000986566,0.00079170684,0.0005389687,0.0010109214,0.00029884835,0.0009447302,0.0007803559,0.0006855074,0.0014330845],"category_scores_gemma":[0.005718078,0.00029620042,0.00068346167,0.0008222449,0.00090067746,0.0010894804,0.00070692383,0.0011809646,0.00064457237],"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":[0.00034656466,0.000098883495,0.0009059002,0.0002507764,0.000108349544,0.00012602242,0.0002783622,0.2179432,0.037449677,0.1446883,0.0024042767,0.59539974],"study_design_scores_gemma":[0.000024053397,0.00014036908,0.0004914623,0.000020248115,0.000030645908,0.00017284836,0.000025985884,0.94725394,0.015516312,0.033459984,0.0028164377,0.000047710513],"about_ca_topic_score_codex":0.0006866133,"about_ca_topic_score_gemma":0.00048638912,"teacher_disagreement_score":0.0014330845,"about_ca_system_score_codex":0.000521932,"about_ca_system_score_gemma":0.00041083345,"threshold_uncertainty_score":0.0052174926},"labels":[],"label_agreement":null}]}