{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008360202,0.0004595071,0.0006566156,0.0005390008,0.0005723772,0.001432596,0.000785764,0.00182702,0.00179209],"category_scores_gemma":[0.00249825,0.000309243,0.000341106,0.001244878,0.001877109,0.002521563,0.001051811,0.001594774,0.000362559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360972,"about_ca_system_score_gemma":0.000669323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009632664,"about_ca_topic_score_gemma":0.001014893,"domain_scores_codex":[0.9989476,0.0004428965,0.00003082171,0.0001883347,0.0003111808,0.00007918422],"domain_scores_gemma":[0.9989505,0.0005773029,0.0001355431,0.0001574382,0.0001381582,0.00004106555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004148432,0.00003281952,0.0003618461,0.0003080931,0.00003611721,0.0004444898,0.0001534283,0.09316101,0.002268962,0.8633248,0.003551342,0.03631572],"study_design_scores_gemma":[0.0000342955,0.0001439264,0.0007350584,0.0001287027,0.00003458288,0.001013021,0.0001633771,0.3402263,0.0009444369,0.6167766,0.03976293,0.00003664019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02706399,0.02505839,0.8760565,0.006369177,0.0009636564,0.00007971002,0.00006254721,0.0001609723,0.06418505],"genre_scores_gemma":[0.9015001,0.02135019,0.05893704,0.0010461,0.002352145,0.0001699197,0.00004700139,0.00004065925,0.0145569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00182702,"threshold_uncertainty_score":0.009874582,"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."}}