{"id":"W2944756271","doi":"10.1109/bmsb47279.2019.8971929","title":"Average SER Analysis for Layered Division Multiplexing System with Index Modulation","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Modulation (music); Transmission (telecommunications); Codebook; Bit error rate; Transmission system; Reliability (semiconductor); Electronic engineering; Decoding methods; Fading; Multiplexing; Algorithm; Channel (broadcasting); Telecommunications; Engineering","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":[0.001718143,0.001183791,0.001001885,0.0008733186,0.0006162009,0.001231863,0.000798127,0.0008010662,0.002106862],"category_scores_gemma":[0.005342372,0.0004219201,0.0008095811,0.0008031934,0.0008224847,0.001427321,0.0007456995,0.0009223924,0.0004098686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484339,"about_ca_system_score_gemma":0.00104663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004257511,"about_ca_topic_score_gemma":0.002224457,"domain_scores_codex":[0.9986547,0.0004220059,0.00006210931,0.0001427664,0.0005011009,0.0002172217],"domain_scores_gemma":[0.9961132,0.00226032,0.0004606485,0.0002564208,0.0008292527,0.00008023794],"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":[0.0001397761,0.00003091633,0.002029382,0.0001693053,0.0000940953,0.0003289471,0.0001460758,0.9403916,0.008975409,0.03321999,0.0008187247,0.01365579],"study_design_scores_gemma":[0.000002258157,0.00003017436,0.0001985131,0.000007182358,0.00001440525,0.00008146021,0.00001233566,0.9969975,0.0008401122,0.001637202,0.0001698257,0.000009105088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07527263,0.002938428,0.9119062,0.0002973809,0.0001012189,0.0000523407,0.0001394077,0.000414265,0.008878249],"genre_scores_gemma":[0.9726923,0.001578,0.0235735,0.00008450194,0.00006806837,0.00004486003,0.00008433087,0.00005093167,0.001823451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004257511,"threshold_uncertainty_score":0.01076967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018890549617786,"score_gpt":0.2155310744439064,"score_spread":0.2053421689477285,"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."}}