{"id":"W2120892741","doi":"","title":"Performance of quadratic and exponential multiuser chirp spread spectrum communication systems","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Chirp; Chirp spread spectrum; Additive white Gaussian noise; Rayleigh fading; Bit error rate; Spread spectrum; Fading; Electronic engineering; Algorithm; Process gain; Direct-sequence spread spectrum; Computer science; Mathematics; Telecommunications; White noise; Physics; Channel (broadcasting); Decoding methods; Engineering; Optics","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":[0.002252175,0.0002480251,0.0004000459,0.000379932,0.0002567962,0.0003489994,0.002171543,0.0001242821,0.00002110297],"category_scores_gemma":[0.00003345459,0.0002361921,0.00005604227,0.0003542818,0.0002183076,0.001542769,0.0008273663,0.0002998441,0.00002846884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001396739,"about_ca_system_score_gemma":0.00009328096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003828066,"about_ca_topic_score_gemma":0.00000618128,"domain_scores_codex":[0.9959067,0.0009537326,0.001137963,0.0003760418,0.001385663,0.0002399387],"domain_scores_gemma":[0.995153,0.0005103977,0.0008465798,0.001902769,0.00148224,0.0001050334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002147492,0.001348187,0.0553265,0.0006334345,0.0007135239,3.006643e-7,0.006030128,0.605064,0.007029759,0.06872772,0.001242067,0.2536696],"study_design_scores_gemma":[0.0009218124,0.0002335399,0.09097582,0.0004070568,0.00001560366,0.00001899755,0.00005854072,0.9057819,0.0009558054,0.00003242159,0.0004074838,0.0001909671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849404,0.00100713,0.008577163,0.001386276,0.0005215096,0.001297169,0.000004998306,0.00007051975,0.00219489],"genre_scores_gemma":[0.9924116,0.003276872,0.003685389,0.0000341515,0.0000827511,0.0003638173,0.00005909441,0.00001923242,0.00006708582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3007179,"threshold_uncertainty_score":0.9631634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02904833170043148,"score_gpt":0.2867255940762315,"score_spread":0.2576772623758001,"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."}}