{"id":"W2165415702","doi":"10.1109/tcomm.2005.863766","title":"An enhanced widely linear CDMA receiver with OQPSK modulation","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Phase-shift keying; Minimum-shift keying; Electronic engineering; Code division multiple access; Computer science; Asynchronous communication; Demodulation; Keying; Radio receiver design; Fading; Pulse-position modulation; Modulation (music); Telecommunications; Bit error rate; Pulse-amplitude modulation; Engineering; Transmitter; Detector; Physics; Channel (broadcasting); Pulse (music)","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":[0.000350178,0.0002250728,0.0001984701,0.000322853,0.001109995,0.0002200986,0.004050531,0.0001250099,0.00004028974],"category_scores_gemma":[0.000004291185,0.0002197404,0.0000833762,0.001367714,0.0002708939,0.001252647,0.00002411377,0.0006879003,0.0001532044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604461,"about_ca_system_score_gemma":0.0001587423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003909049,"about_ca_topic_score_gemma":0.001514088,"domain_scores_codex":[0.9977223,0.0005632802,0.0004157159,0.000442632,0.0004964804,0.0003595571],"domain_scores_gemma":[0.992106,0.0004559134,0.0001465277,0.006699815,0.0004513208,0.0001404107],"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":[0.00006575555,0.001975666,0.00005586194,0.000009546751,0.00006742839,0.0000017168,0.0008003959,0.8345928,0.01216244,0.02280547,0.0003528055,0.1271102],"study_design_scores_gemma":[0.0006223532,0.0002266845,0.001723654,0.00004942591,0.00001512156,0.000009660346,0.0000494852,0.9789456,0.01374868,0.001470187,0.002779884,0.0003593271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008312565,0.0000701903,0.9825082,0.003321622,0.00009161591,0.0004288453,0.00001271064,0.0005465851,0.004707662],"genre_scores_gemma":[0.8468349,0.0002449716,0.1518791,0.0001195652,0.00003092057,0.0002384013,0.00003561555,0.00003080826,0.0005857418],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8385223,"threshold_uncertainty_score":0.8960755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211758633553163,"score_gpt":0.3014470995112853,"score_spread":0.2693295131757537,"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."}}