{"id":"W2030141715","doi":"10.1007/s11277-014-1848-2","title":"A Novel and Efficient Mapping of 32-QAM Constellation for BICM-ID Systems","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"University of Tabriz","keywords":"Computer science; Euclidean distance; Algorithm; Decoding methods; Hamming distance; Additive white Gaussian noise; Fading; Quadrature amplitude modulation; Constellation; Spectral efficiency; Telecommunications; White noise; Artificial intelligence; Bit error rate","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":[0.0002398519,0.0005942168,0.0004721498,0.0005633914,0.0005039818,0.0006309292,0.0005633652,0.0004504789,0.00351527],"category_scores_gemma":[0.0007108211,0.0002536241,0.0002413959,0.0008060149,0.0002994013,0.0005863358,0.001000893,0.0004663708,0.001870609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002994573,"about_ca_system_score_gemma":0.0006636591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004120356,"about_ca_topic_score_gemma":0.0008625687,"domain_scores_codex":[0.9996583,0.00009436876,0.00001706199,0.00003721383,0.000147692,0.00004534764],"domain_scores_gemma":[0.9997085,0.00006135451,0.00002915552,0.00009878616,0.00007967526,0.00002239749],"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":[0.0005395404,0.0001583605,0.001349891,0.0003839885,0.00006564151,0.0004143069,0.0002929089,0.03490983,0.3736927,0.07547902,0.006048614,0.5066651],"study_design_scores_gemma":[0.0001135262,0.0005865961,0.001756548,0.0001502692,0.00007157709,0.003393797,0.0001572149,0.6887561,0.2035513,0.04878393,0.05251473,0.0001643797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05808956,0.001252627,0.9219818,0.0003535802,0.000221212,0.0001077748,0.0002185948,0.0009489761,0.01682579],"genre_scores_gemma":[0.3729544,0.0007261122,0.6171765,0.0001976832,0.0000901993,0.0001246061,0.0003347401,0.00007171179,0.008323956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00351527,"threshold_uncertainty_score":0.01175976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03430322749368422,"score_gpt":0.2634423041235032,"score_spread":0.229139076629819,"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."}}