{"id":"W4285710519","doi":"10.36227/techrxiv.11515575.v1","title":"Enhanced Huffman Coded OFDM with \\\\Index Modulation","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Huffman coding; Orthogonal frequency-division multiplexing; Computer science; Subcarrier; Block Error Rate; Algorithm; Channel state information; Transmission (telecommunications); Burstiness; Channel (broadcasting); Real-time computing; Telecommunications link; Data compression; Computer network; Telecommunications","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":[0.0004074191,0.0003781302,0.0004388322,0.0003199147,0.0002470373,0.0004034079,0.0007937942,0.000448061,0.0008469441],"category_scores_gemma":[0.001332795,0.0001140171,0.0001762241,0.0005955787,0.0003854932,0.000783016,0.0004491977,0.000534338,0.0002332188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005285051,"about_ca_system_score_gemma":0.0006202237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534022,"about_ca_topic_score_gemma":0.002127129,"domain_scores_codex":[0.9996508,0.0000717005,0.00001349998,0.00004815837,0.0001582403,0.00005754762],"domain_scores_gemma":[0.9995105,0.0001896618,0.00005549865,0.00008608531,0.0001372155,0.00002099139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006401549,0.0002161423,0.001743076,0.0003420826,0.0000826672,0.0007203917,0.0002665441,0.2875755,0.129656,0.1178652,0.004083578,0.4568087],"study_design_scores_gemma":[0.00002376019,0.0001355786,0.0003580255,0.00001504642,0.00001867001,0.0002766594,0.00001396944,0.9735557,0.01604206,0.005822704,0.003717784,0.00001997137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06095388,0.0009919478,0.9304002,0.0002307726,0.0001509471,0.00006374295,0.00008598518,0.0002909615,0.006831659],"genre_scores_gemma":[0.6849775,0.0006129468,0.3091913,0.0002890278,0.0001129436,0.00006948624,0.0001492375,0.00002632631,0.004571353],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001534022,"threshold_uncertainty_score":0.003834546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05613903655700395,"score_gpt":0.2904250622010499,"score_spread":0.234286025644046,"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."}}