{"id":"W2142268659","doi":"10.1109/iceee.2004.1433847","title":"A binary phase shift keying demodulator using pulse detection","year":2005,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Multivibrator; Demodulation; Baseband; SIGNAL (programming language); Keying; Pulse (music); Amplitude-shift keying; Phase (matter); Phase-shift keying; Physics; Computer science; Electronic engineering; Electrical engineering; Detector; Optoelectronics; Optics; Bit error rate; Telecommunications; Engineering; CMOS","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":[0.00005518,0.0001148471,0.0001028567,0.00009724116,0.00005574399,0.00002796574,0.00008950646,0.0001160808,0.00009683855],"category_scores_gemma":[0.00002155339,0.0001120517,0.00003652585,0.0002277178,0.00002567258,0.000217642,0.00003855471,0.0001610656,0.00007614369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080283,"about_ca_system_score_gemma":0.000003263328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006236166,"about_ca_topic_score_gemma":0.00001945184,"domain_scores_codex":[0.9993882,0.000005088058,0.0001459837,0.0001249974,0.000076863,0.0002588994],"domain_scores_gemma":[0.9997338,0.00002318938,0.000009628953,0.0001790685,0.000008640961,0.00004566344],"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":[0.00001436607,0.00007673389,0.0002133021,0.00003498919,0.000041253,0.00001451906,0.00006877908,0.3172621,0.1725456,0.0008114342,0.000118703,0.5087982],"study_design_scores_gemma":[0.0002752784,0.00003096862,0.0002923217,0.00001133213,0.00001007767,0.00000819913,0.00002026346,0.9636288,0.03451562,0.0001982793,0.000854936,0.0001538841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251162,0.0001988582,0.07094702,0.00006615972,0.0001385656,0.00008654171,6.112367e-7,0.002221604,0.001224481],"genre_scores_gemma":[0.9504924,0.00001344697,0.0492821,0.00002383844,0.0001377592,0.000005453037,5.827072e-7,0.00002814937,0.00001621487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6463667,"threshold_uncertainty_score":0.4569338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594966669957602,"score_gpt":0.2503691065654736,"score_spread":0.2344194398658976,"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."}}