{"id":"W2008104692","doi":"10.1109/vtcfall.2014.6966170","title":"SCMA Codebook Design","year":2014,"lang":"en","type":"article","venue":"","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":642,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Codebook; Computer science; Algorithm; QAM; Quadrature amplitude modulation; Code division multiple access; Code (set theory); Theoretical computer science; Bit error rate; Telecommunications; Decoding methods","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":[0.0001600922,0.00004810136,0.00005569079,0.00002055457,0.0000181745,0.00001080296,0.00005636351,0.00002575185,0.0001735141],"category_scores_gemma":[0.000004648122,0.00004035313,0.00001913124,0.0000307584,0.000008021884,0.00002875135,0.000003201998,0.00002894408,0.0004808377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003986903,"about_ca_system_score_gemma":0.000001004945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001384698,"about_ca_topic_score_gemma":0.000001022972,"domain_scores_codex":[0.9997426,0.00002712427,0.0000599915,0.00004444679,0.00003556798,0.00009030553],"domain_scores_gemma":[0.999815,0.00003804004,0.000003276567,0.0001074886,0.00000497623,0.00003114587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001299747,0.00001833614,0.0003639723,0.0001174852,0.00007767328,0.00000367223,0.0005050167,0.05597872,0.04385054,0.8036949,0.06438693,0.03098975],"study_design_scores_gemma":[0.0006782187,0.0001068178,0.0005541578,0.00004962003,0.00001803292,0.0000261337,0.0001182833,0.4915954,0.1304504,0.05742588,0.3183363,0.0006407276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01126441,0.00004300534,0.6417758,0.00000739617,0.0002462452,0.00006188563,1.92042e-7,0.0004731626,0.3461279],"genre_scores_gemma":[0.9967337,0.000001240471,0.0009053685,0.00004400305,0.00004489175,0.000007647939,2.978795e-7,0.00001046638,0.002252376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9854693,"threshold_uncertainty_score":0.6180356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007264408937287988,"score_gpt":0.1498062417669913,"score_spread":0.1425418328297033,"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."}}