{"id":"W4287829687","doi":"10.48550/arxiv.2003.00724","title":"Polar Coded Faster-than-Nyquist (FTN) Signaling with Symbol-by-Symbol\\n Detection","year":2020,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Saskatchewan","funders":"","keywords":"Intersymbol interference; Computer science; Algorithm; Bit error rate; BCJR algorithm; Computational complexity theory; Detection theory; Coding gain; Decoding methods; Electronic engineering; Telecommunications; Block code; Concatenated error correction code; Engineering; Detector","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0003277462,0.001575022,0.001351762,0.000684067,0.0006758601,0.0003418229,0.001474916,0.001119956,0.0005017759],"category_scores_gemma":[0.0000684676,0.002061661,0.0006213706,0.001922378,0.0004749371,0.0008065766,0.0007863497,0.00285469,0.0008651538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015784,"about_ca_system_score_gemma":0.0002601368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005579045,"about_ca_topic_score_gemma":0.000118763,"domain_scores_codex":[0.9943501,0.0003704758,0.0008584881,0.002734632,0.0003951672,0.001291156],"domain_scores_gemma":[0.9961457,0.0001886382,0.0006773865,0.001610185,0.0004155374,0.0009625735],"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":[0.0007853824,0.0001964946,0.001727966,0.0009633034,0.001677475,0.0006593092,0.001197792,0.9027447,0.08831351,0.0009266581,0.0003549154,0.0004524972],"study_design_scores_gemma":[0.006867809,0.001322448,0.001162545,0.002108834,0.003577966,0.0002932867,0.009616067,0.7698667,0.1840594,0.002413978,0.0110476,0.007663383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5953118,0.0002364947,0.3967104,0.00008793642,0.002102056,0.000888325,0.000163536,0.0009877764,0.003511709],"genre_scores_gemma":[0.9955707,0.0004565204,0.0004057476,0.00006457094,0.0007275614,0.00000756983,0.0001323003,0.0003270556,0.002307926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.400259,"threshold_uncertainty_score":0.9999128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03864981812479484,"score_gpt":0.1613923055332,"score_spread":0.1227424874084052,"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."}}