{"id":"W4388610614","doi":"10.23977/jeis.2023.080501","title":"New interference rejection method in RF field","year":2023,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interference (communication); Throughput; Computer science; Division (mathematics); Handover; Channel (broadcasting); Co-channel interference; Coding (social sciences); Electronic engineering; Computer network; Telecommunications; Engineering; Wireless; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003251152,0.00004711886,0.00008960798,0.000884736,0.0001092072,0.0003651317,0.00108663,0.00002925082,0.000004338953],"category_scores_gemma":[0.000401754,0.00003951168,0.0000201746,0.002987153,0.00002932241,0.008054636,0.0002771234,0.0003305975,0.000009835845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001007794,"about_ca_system_score_gemma":0.000733857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001489946,"about_ca_topic_score_gemma":0.000009358658,"domain_scores_codex":[0.9988238,0.00004054751,0.0003823742,0.00006966797,0.000448323,0.0002352539],"domain_scores_gemma":[0.9989476,0.0002034851,0.0002262334,0.0002252858,0.0003038815,0.00009354544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001607985,0.000007311979,0.0003568103,0.000006408499,0.000002484056,9.965917e-7,0.001715676,0.0035597,0.002135812,0.1458158,0.002082159,0.8443007],"study_design_scores_gemma":[0.0004182615,0.0004724787,0.009953056,0.00006144656,0.000001091131,0.0001005253,0.0001623639,0.9444159,0.006813552,0.01051063,0.02697437,0.0001163846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01923545,0.0001626768,0.9736097,0.004808695,0.0001578982,0.00005631231,6.775193e-8,0.00001941345,0.001949719],"genre_scores_gemma":[0.9615062,0.002796052,0.03527765,0.000335542,0.00002675556,0.000001516727,2.641778e-7,0.000001522019,0.00005446644],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9422708,"threshold_uncertainty_score":0.5839417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384828245289783,"score_gpt":0.3434499985263922,"score_spread":0.3196017160734944,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}