{"id":"W2056863264","doi":"10.1007/s11277-010-9941-7","title":"On the Performance of a Constellation-rotated Time-spreaded Space-frequency Coding Scheme for 4 × 1 MISO OFDM Transceivers","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Fading; Channel (broadcasting); Constellation; Diversity gain; Transceiver; Coding gain; Coding (social sciences); Decoding methods; Doppler frequency; Algorithm; Bit error rate; Diversity scheme; Doppler effect; Telecommunications; Electronic engineering; Mathematics; Wireless; Physics; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002892301,0.0002134185,0.0002462496,0.0001290112,0.0004523431,0.00002600965,0.001372744,0.0001328229,0.0001220186],"category_scores_gemma":[0.00006504307,0.0001975652,0.0001267463,0.0003326653,0.0005515613,0.000180557,0.00005261137,0.0006627506,0.00002030757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006206878,"about_ca_system_score_gemma":0.0000563574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001430591,"about_ca_topic_score_gemma":0.00001962796,"domain_scores_codex":[0.9989696,0.0000675844,0.0003817417,0.000156187,0.0001924805,0.0002324173],"domain_scores_gemma":[0.9966682,0.001242875,0.0001420461,0.001661152,0.0002240545,0.00006172263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003902463,0.0001239997,0.0003404286,0.0001396878,0.0001148997,1.080379e-7,0.002662152,0.000917767,0.9222148,0.06951254,0.00102627,0.002908317],"study_design_scores_gemma":[0.0006219448,0.00009762267,0.0003592159,0.0002687067,0.00003939483,0.000006114603,0.000442141,0.8155294,0.1779831,0.0004997374,0.003717521,0.0004350336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782795,0.0002395921,0.0035814,0.002349894,0.00007169681,0.001174717,0.0001788036,0.0006545899,0.0134698],"genre_scores_gemma":[0.9773896,0.0005329385,0.02158918,0.00005021242,0.00001278297,0.0001975551,0.0001060337,0.00005234768,0.0000692976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8146117,"threshold_uncertainty_score":0.8056474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265070140573543,"score_gpt":0.254438367499053,"score_spread":0.2317876660933176,"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."}}