{"id":"W1983671061","doi":"10.1109/vetecf.2011.6092944","title":"Adaptive Reed-Solomon Coding in Eigen-MIMO with Non-Adaptive Modulation","year":2011,"lang":"en","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Link adaptation; Computer science; Codec; MIMO; Coding (social sciences); Adaptive coding; Decoding methods; Encoder; Coding gain; Spectral efficiency; Code rate; Algorithm; Quadrature amplitude modulation; Precoding; Electronic engineering; Bit error rate; Telecommunications; Channel (broadcasting); Mathematics; Fading; Data compression; Engineering; Statistics","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":[0.0003145407,0.0001420485,0.0001420553,0.0002251546,0.00009154886,0.00003834817,0.000436799,0.00005603282,0.00003763136],"category_scores_gemma":[0.000006033174,0.0001158568,0.00004444881,0.0006990361,0.00006154404,0.0006349095,0.0001218609,0.0001336605,0.00002569861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003118835,"about_ca_system_score_gemma":0.00002878059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002219828,"about_ca_topic_score_gemma":0.0002630657,"domain_scores_codex":[0.9989661,0.00006871569,0.000163198,0.0003795588,0.0001657891,0.0002566221],"domain_scores_gemma":[0.9993832,0.00005634818,0.00007338748,0.0003600387,0.00006290458,0.00006408794],"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":[0.0002428554,0.0001279285,0.008166742,0.000003650924,0.00002909531,0.00003630112,0.008923428,0.0002330202,0.0006070387,0.9593726,0.00003398249,0.0222233],"study_design_scores_gemma":[0.001989814,0.002825464,0.1937966,0.0002322243,0.00002239084,0.00003533607,0.002328728,0.5529531,0.01811972,0.2264671,0.00006028971,0.001169218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1051491,0.00000980102,0.8302997,0.00002384975,0.0000808549,0.0001672789,4.900775e-7,0.0001292396,0.06413972],"genre_scores_gemma":[0.9269476,0.000002952963,0.07283788,0.00008410733,0.00001765395,0.00001631135,5.057282e-7,0.000007326444,0.00008566618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8217985,"threshold_uncertainty_score":0.4724503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460450987460366,"score_gpt":0.2133593185977873,"score_spread":0.1787548087231836,"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."}}