{"id":"W2128132268","doi":"10.1109/tvt.2007.905613","title":"Performance Evaluation of Bluetooth Systems With LDI, Modified LDI, and NSD Receivers","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bluetooth; Computer science; Bit error rate; Electronic engineering; Jitter; Real-time computing; Network packet; Wireless; Computer network; Engineering; Channel (broadcasting); Telecommunications","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":[0.0003274434,0.000184806,0.0002748737,0.0006902987,0.0003195474,0.00002083683,0.0008622275,0.00030578,0.000002735804],"category_scores_gemma":[0.00001146487,0.00016125,0.0000411531,0.00107383,0.0005326748,0.0003325443,0.00001168543,0.0003880751,0.000007339627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007441362,"about_ca_system_score_gemma":0.0001264681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003250321,"about_ca_topic_score_gemma":0.00001194161,"domain_scores_codex":[0.9985529,0.00009040658,0.0002856471,0.000383413,0.0004450468,0.0002426544],"domain_scores_gemma":[0.9981523,0.00005241133,0.0001701045,0.001238665,0.0003442552,0.00004228573],"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":[0.0001228202,0.0006669827,0.001647149,0.0001334334,0.0003370152,0.00002269158,0.0009289547,0.4144166,0.009550482,0.01718977,0.00009746094,0.5548867],"study_design_scores_gemma":[0.00183114,0.0008370366,0.001374082,0.0001473764,0.00007961548,0.0003316862,0.0003982315,0.8287798,0.1651297,0.0003605438,0.0003172546,0.0004135879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6536285,0.0004033244,0.3442528,0.0005417344,0.00009014426,0.0003207379,0.000002634176,0.000544416,0.0002157016],"genre_scores_gemma":[0.9930611,0.001038041,0.005658163,0.00002110305,0.000003143803,0.0001681699,9.222101e-7,0.0000124066,0.00003690819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5544731,"threshold_uncertainty_score":0.6575584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015671971925579,"score_gpt":0.2306594277956785,"score_spread":0.2005027080764227,"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."}}