{"id":"W2082239820","doi":"10.1002/wcm.403","title":"Tone diversity for OFDMA in broadband wireless communications","year":2006,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Transmitter; Computer science; Orthogonal frequency-division multiple access; Wireless broadband; Orthogonal frequency-division multiplexing; Code division multiple access; Diversity scheme; Maximal-ratio combining; Tone (literature); Wireless; Equalization (audio); Channel (broadcasting); Computer network; Frequency-division multiple access; Telecommunications; Electronic engineering; Wireless network; Fading; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003711641,0.0002648098,0.0003926256,0.0002414566,0.00104118,0.00007466375,0.002048472,0.0001482903,0.000003454111],"category_scores_gemma":[0.00001029495,0.0003215169,0.00008222079,0.0004549785,0.0003990009,0.0002540618,0.00262072,0.0004400992,0.000002130537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001523675,"about_ca_system_score_gemma":0.00002206888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000414177,"about_ca_topic_score_gemma":0.0006737181,"domain_scores_codex":[0.998503,0.0001298435,0.0006101825,0.0002640807,0.0001242302,0.0003686457],"domain_scores_gemma":[0.9960423,0.0007522178,0.0001502617,0.002828392,0.0001562392,0.00007061208],"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":[0.00002728381,0.000992023,0.05040038,0.0004300586,0.0001121107,0.000001489132,0.00356509,0.02165189,0.01766616,0.08042391,0.0008547382,0.8238748],"study_design_scores_gemma":[0.00111586,0.00005059314,0.009409497,0.000350063,0.00003510033,0.000007515561,0.0006654583,0.959493,0.002452042,0.002694799,0.02304216,0.0006839221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8560153,0.01405517,0.1242187,0.0004479332,0.0000864503,0.001540838,0.00008654069,0.001200274,0.00234885],"genre_scores_gemma":[0.9520795,0.009328461,0.03772438,0.00003897099,0.00003022023,0.000528209,0.0001720152,0.00005695152,0.00004132322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9378411,"threshold_uncertainty_score":0.9999237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029384459064641,"score_gpt":0.2861399930764381,"score_spread":0.2658461484857917,"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."}}