{"id":"W2439064233","doi":"10.1109/tvt.2016.2580512","title":"Spectral-Efficient Quadrature Spatial Modulation Cooperative Amplify and Forward Spectrum-Sharing Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Electronic engineering; Quadrature (astronomy); Quadrature amplitude modulation; Computer science; Modulation (music); Telecommunications; Physics; Engineering; Bit error rate; Acoustics; Channel (broadcasting)","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":[0.0009245327,0.0005103128,0.0007621195,0.0003146278,0.0004102092,0.0007901905,0.0007226965,0.0005122367,0.0009288662],"category_scores_gemma":[0.001787393,0.0001624233,0.0002202403,0.0006644679,0.000529088,0.0007672631,0.0008511693,0.0003242547,0.0002487186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005495481,"about_ca_system_score_gemma":0.0003894714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007069993,"about_ca_topic_score_gemma":0.001076911,"domain_scores_codex":[0.9992712,0.0002297448,0.00002904962,0.00008033703,0.0003050246,0.00008460846],"domain_scores_gemma":[0.9989879,0.0005411509,0.000155345,0.00009285766,0.000202532,0.00002024619],"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":[0.0002313527,0.0001181145,0.001535845,0.0001781881,0.00006536402,0.0003672455,0.0002806109,0.771728,0.03655602,0.1070315,0.001413416,0.08049438],"study_design_scores_gemma":[0.000009229489,0.00006332809,0.0001844057,0.000005991761,0.00000946342,0.00009375346,0.00001892053,0.9894874,0.001738571,0.007863349,0.00051685,0.000008806024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1284504,0.0009996827,0.8577452,0.0002527524,0.00004581678,0.00006501589,0.00008169266,0.0001777318,0.01218176],"genre_scores_gemma":[0.9748706,0.0002885062,0.02348211,0.00004460384,0.00002009306,0.00002849328,0.00002254038,0.00000474596,0.001238342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009288662,"threshold_uncertainty_score":0.004889429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008735314258550009,"score_gpt":0.2188896630630253,"score_spread":0.2101543488044753,"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."}}