{"id":"W2145966267","doi":"10.1109/tbc.2005.860536","title":"Signal Mappings of 8-ary Constellations for Bit Interleaved Coded Modulation With Iterative Decoding","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Additive white Gaussian noise; Computer science; Decoding methods; Algorithm; Constellation diagram; Modulation (music); Transmission (telecommunications); Constellation; Bit error rate; Demodulation; Spectral efficiency; Mutual information; Bandwidth (computing); Channel (broadcasting); Theoretical computer science; Telecommunications; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00007962313,0.0001649355,0.0001935592,0.0002430511,0.0001773012,0.00002451949,0.000104888,0.00006738156,0.00002479082],"category_scores_gemma":[0.000004713389,0.0001757982,0.00006668086,0.0002738036,0.00006858229,0.0002567542,0.000001019619,0.0001744293,0.000001493563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009341083,"about_ca_system_score_gemma":0.00001778534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001829418,"about_ca_topic_score_gemma":0.00003107893,"domain_scores_codex":[0.9991639,0.00002428187,0.000378458,0.0001562712,0.0001100537,0.0001670907],"domain_scores_gemma":[0.9991295,0.0003708956,0.0001110706,0.0002051845,0.0001489623,0.00003433325],"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":[0.00003376848,0.00003542072,0.0000269116,0.00005887191,0.00003144641,3.002789e-7,0.0002518121,0.8702034,0.08853985,0.0001793914,0.00002136254,0.04061749],"study_design_scores_gemma":[0.0003771315,0.00006977584,0.00004313545,0.0002511388,0.0000194824,0.000006326978,0.0001139838,0.6753328,0.3231312,0.0004106434,0.00007954406,0.0001647795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0630533,0.00003170188,0.9349125,0.00002242715,0.00005115625,0.0003998559,0.00004569116,0.0004675371,0.001015852],"genre_scores_gemma":[0.8752831,0.000008734453,0.1244794,0.00001034731,0.00002003468,0.00009932486,0.00001588402,0.0000398013,0.00004336347],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8122298,"threshold_uncertainty_score":0.7168841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167179009125357,"score_gpt":0.2346579451068677,"score_spread":0.217940044194332,"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."}}