{"id":"W2107910740","doi":"10.1109/tit.2014.2310391","title":"Decentralized Wireless Networks: Spread Spectrum Communications Revisited","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transmitter; Upper and lower bounds; Computer science; Wireless network; Entropy (arrow of time); Gaussian; Mathematics; Gaussian noise; Topology (electrical circuits); Wireless; Multiplexing; Computer network; Algorithm; Telecommunications; Combinatorics; Physics","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":[0.0016589,0.0002347116,0.0002551292,0.0004357245,0.0007751776,0.0004586863,0.003328143,0.0001524133,0.0001229633],"category_scores_gemma":[0.00003153122,0.0002340332,0.0001526248,0.001189344,0.0002155692,0.00252625,0.00003827485,0.000700758,0.0006279964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497831,"about_ca_system_score_gemma":0.00007387974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001923967,"about_ca_topic_score_gemma":0.00001216483,"domain_scores_codex":[0.9970874,0.001063655,0.000686325,0.0002189029,0.0004743458,0.0004693877],"domain_scores_gemma":[0.9945251,0.001191374,0.0002556907,0.003602399,0.0002207778,0.0002046748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006399429,0.0001446384,0.000005580851,0.00002028239,0.00005512094,2.028583e-7,0.0007603035,0.0812944,0.0000217938,0.491966,0.0008064953,0.4248612],"study_design_scores_gemma":[0.0007186513,0.00007406758,0.00008336711,0.00007983173,0.0000129744,0.00001079985,0.00005332966,0.9683591,0.001150568,0.006302715,0.02286613,0.0002885196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002839443,0.000083113,0.988482,0.002074623,0.0003404838,0.000439672,0.000009076231,0.0006040869,0.00768299],"genre_scores_gemma":[0.9866637,0.001203832,0.01049704,0.001220052,0.00003094357,0.0001519171,0.00003519843,0.00001801167,0.000179302],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9863797,"threshold_uncertainty_score":0.9543598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476768068238914,"score_gpt":0.2604622480282376,"score_spread":0.2456945673458485,"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."}}