{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001219356,0.0006580524,0.0004119832,0.0003861496,0.0003631077,0.0007384933,0.0004632783,0.0008537922,0.001357774],"category_scores_gemma":[0.005316924,0.0001580276,0.0002088024,0.0004957216,0.0005747541,0.0008754765,0.0006496537,0.0003791763,0.000219963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005931171,"about_ca_system_score_gemma":0.0003737589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001447367,"about_ca_topic_score_gemma":0.001032849,"domain_scores_codex":[0.9990894,0.0003242493,0.00003364263,0.0001102059,0.000286,0.0001566195],"domain_scores_gemma":[0.9961401,0.002608078,0.0003173724,0.0002516961,0.0006041845,0.0000786021],"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":[0.001289886,0.00009928024,0.007509247,0.0003233423,0.0001096386,0.0003724154,0.0002291376,0.8877809,0.03675138,0.01526889,0.0007498756,0.04951603],"study_design_scores_gemma":[0.00001688478,0.0003502118,0.002511079,0.00001465486,0.0000226896,0.0002218533,0.00004819885,0.9895228,0.005192425,0.001800089,0.0002780579,0.00002110926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7527568,0.002686493,0.2257958,0.000474002,0.00009681271,0.00004495417,0.0001797927,0.0004829983,0.01748228],"genre_scores_gemma":[0.9964741,0.0001845123,0.002772694,0.00002270437,0.00001190635,0.000007390367,0.00002568825,0.000008269567,0.0004926865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001447367,"threshold_uncertainty_score":0.006448686,"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."}}