{"id":"W3134972866","doi":"10.1049/cmu2.12151","title":"Analysis of spectral efficiency for OFDM cooperative cognitive networks with non‐linear relay","year":2021,"lang":"en","type":"article","venue":"IET Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Relay; Subcarrier; Computer science; Spectral efficiency; Relay channel; Topology (electrical circuits); Telecommunications link; Amplifier; Interference (communication); Node (physics); Power (physics); Electronic engineering; Telecommunications; Channel (broadcasting); Mathematics; Physics; Engineering; Acoustics; Bandwidth (computing)","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":[0.001548048,0.0006927474,0.0005370565,0.0006697649,0.0004241388,0.00111454,0.000670685,0.000649793,0.001116451],"category_scores_gemma":[0.00498515,0.0002184573,0.0003859177,0.0007401617,0.001173392,0.0007966916,0.0006742165,0.0003595652,0.0001746444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377876,"about_ca_system_score_gemma":0.0006674782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002812471,"about_ca_topic_score_gemma":0.001686272,"domain_scores_codex":[0.9992036,0.00026256,0.00002030985,0.00008162068,0.0002587306,0.0001731427],"domain_scores_gemma":[0.9969776,0.00225372,0.0002233406,0.0001184416,0.0003820099,0.00004500986],"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":[0.0000784712,0.00002879582,0.0006386369,0.00004800295,0.00003322696,0.0001589529,0.00005425727,0.971849,0.004823411,0.01665785,0.0001545599,0.005474885],"study_design_scores_gemma":[0.00000316928,0.0000282411,0.0002204437,0.000005236723,0.000009746795,0.00003932869,0.00002874101,0.9954199,0.001334687,0.002813806,0.0000916415,0.000005088343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3169684,0.0008680546,0.6647097,0.0002578908,0.00002459428,0.00004250982,0.00007588152,0.0001535584,0.01689938],"genre_scores_gemma":[0.9931335,0.000172877,0.005832158,0.00002445938,0.000008083835,0.0000227597,0.00001339402,0.00001080652,0.0007819947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002812471,"threshold_uncertainty_score":0.009997249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04167212502322375,"score_gpt":0.3192907715405823,"score_spread":0.2776186465173585,"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."}}