{"id":"W4408717424","doi":"10.1109/emts57498.2023.10925226","title":"Near Field Measurement: Characterizing System SNR Against Frequency","year":2023,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Field (mathematics); Electronic engineering; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004222301,0.0001367618,0.0001523238,0.00006566747,0.00009245448,0.00005567027,0.0001472186,0.00006080438,0.00008258796],"category_scores_gemma":[0.00004621553,0.0001374219,0.0000535799,0.0003001696,0.000008810785,0.00008890702,0.00001980553,0.0001352427,0.0005097148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451118,"about_ca_system_score_gemma":0.00002613343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003366967,"about_ca_topic_score_gemma":0.00005067902,"domain_scores_codex":[0.9988448,0.00002358424,0.000237331,0.0001692413,0.0003734674,0.0003516012],"domain_scores_gemma":[0.9995347,0.00002343392,0.00001623189,0.0002801245,0.0000631418,0.00008235561],"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":[0.000007025599,0.00003088228,0.003626467,0.000883712,0.0001227976,0.00003270035,0.0005527227,0.0007419973,0.9546964,0.0009887081,0.007995912,0.03032073],"study_design_scores_gemma":[0.002854593,0.0007982713,0.09957829,0.001752867,0.0001425624,0.00002821843,0.0009785119,0.3447889,0.5092959,0.0005368486,0.03662486,0.002620206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139587,0.0001628853,0.0007947293,0.0001572666,0.000642713,0.000240941,0.000002444335,0.002279594,0.08176079],"genre_scores_gemma":[0.9993491,0.00002481664,0.0002707439,0.000104283,0.00007400746,0.00002837925,0.000007848265,0.00002385873,0.0001169851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4454004,"threshold_uncertainty_score":0.6551523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709970007132019,"score_gpt":0.2023108144195223,"score_spread":0.1752111143482021,"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."}}