{"id":"W2144496466","doi":"10.1109/icccn.2007.4317811","title":"Adaptive Bit Loading for Coded MIMO-OFDM","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orthogonal frequency-division multiplexing; MIMO; Bit error rate; MIMO-OFDM; Computer science; Electronic engineering; Coding (social sciences); Decoding methods; Computer network; Telecommunications; Engineering; Mathematics; Beamforming","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":[0.0002465733,0.000464335,0.0003087334,0.0002065065,0.0001985532,0.0004330278,0.0003771562,0.0003326173,0.0008321877],"category_scores_gemma":[0.001852132,0.0001349663,0.0001241018,0.0003214139,0.0003503755,0.000488449,0.0004105481,0.0002519745,0.0002175436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003557579,"about_ca_system_score_gemma":0.0004513907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005035645,"about_ca_topic_score_gemma":0.0009410286,"domain_scores_codex":[0.9997515,0.00007236419,0.00001101632,0.00002392055,0.0001028902,0.00003840911],"domain_scores_gemma":[0.9994414,0.0002392378,0.00008650409,0.00007462681,0.0001337839,0.00002441754],"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":[0.0003154905,0.00007572798,0.001006538,0.00007542159,0.00002827665,0.0001372607,0.00005693843,0.8083698,0.07773387,0.01838583,0.0009199683,0.09289483],"study_design_scores_gemma":[0.00001049843,0.00006454909,0.0001347703,0.000005703599,0.000005761802,0.00004204622,0.000007663169,0.9785154,0.01883561,0.001939924,0.0004297965,0.000008337764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2327541,0.0003248043,0.7625722,0.0001414888,0.00004561514,0.00003926545,0.00005526954,0.0003767624,0.003690483],"genre_scores_gemma":[0.9412752,0.000121789,0.05751173,0.00003935905,0.00001729498,0.0000367935,0.00003687971,0.00002563666,0.0009352232],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0008321877,"threshold_uncertainty_score":0.002784014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355006021721576,"score_gpt":0.233804925941679,"score_spread":0.2202548657244633,"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."}}