{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000565339,0.0007031297,0.0005882764,0.001121021,0.0006684768,0.00104159,0.001163885,0.0009774561,0.007190955],"category_scores_gemma":[0.0008770119,0.000263691,0.0005709232,0.00066677,0.0005063873,0.001898638,0.0006807104,0.001108064,0.003232365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000335961,"about_ca_system_score_gemma":0.0002699338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003530178,"about_ca_topic_score_gemma":0.0002793124,"domain_scores_codex":[0.9990121,0.000131704,0.00003686898,0.000204364,0.0005265545,0.0000883367],"domain_scores_gemma":[0.9993585,0.0001386561,0.00008156781,0.00009966067,0.0002686244,0.0000529471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006648663,0.0002242548,0.001167037,0.0006116359,0.00008202005,0.0007599868,0.0005727072,0.002572723,0.5073622,0.02222084,0.01046471,0.4532969],"study_design_scores_gemma":[0.0003764518,0.001921535,0.00313483,0.0002234408,0.0002887325,0.009057775,0.0004630653,0.1008249,0.6433789,0.01124225,0.2287145,0.0003737175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03615058,0.006157886,0.917078,0.0006506912,0.001078284,0.0001540787,0.00008913528,0.003009787,0.03563162],"genre_scores_gemma":[0.483482,0.005638037,0.4277939,0.001581509,0.001348935,0.0003454995,0.0004284382,0.0005860465,0.07879571],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007190955,"threshold_uncertainty_score":0.02405608,"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."}}