{"id":"W2051528490","doi":"10.1364/ol.33.000393","title":"Data encoding on terahertz signals for communication and sensing","year":2008,"lang":"en","type":"article","venue":"Optics Letters","topic":"Terahertz technology and applications","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Terahertz radiation; Optics; Binary data; Modulation (music); Phase modulation; Encoding (memory); Amplitude modulation; Pulse-amplitude modulation; Binary number; Phase-shift keying; Pseudorandom number generator; Channel (broadcasting); Megabit; Computer science; Frequency modulation; Physics; Bit error rate; Pulse (music); Telecommunications; Detector; Bandwidth (computing); Phase noise; Algorithm; Mathematics","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":[0.00005788813,0.00006438482,0.00006426439,0.00003822652,0.0001480239,0.00001335964,0.0001663415,0.00004518584,0.000001544335],"category_scores_gemma":[0.00001503095,0.00006986353,0.000009368579,0.00004449428,0.00005833408,0.00007206255,0.00004106019,0.00009945034,0.000004985539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001188444,"about_ca_system_score_gemma":0.000001840016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001276,"about_ca_topic_score_gemma":0.000001867113,"domain_scores_codex":[0.9996709,0.000005484273,0.0000867389,0.0001061076,0.00003151539,0.00009931477],"domain_scores_gemma":[0.9993545,0.0001207318,0.00001484981,0.000485143,0.000007415563,0.00001739283],"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":[0.00001433049,0.00004478876,0.0004545347,0.0000737228,0.000128635,0.00001120673,0.00098633,0.005545616,0.7801726,0.005729537,0.05464663,0.152192],"study_design_scores_gemma":[0.0007934652,0.00004209436,0.001135562,0.0001080843,0.00005103091,0.00009288512,0.0001094703,0.6852716,0.04575028,0.0008291939,0.2652454,0.0005708914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8911055,0.0001523044,0.10082,0.006205641,0.00005689453,0.0002383957,0.00005055796,0.0003822887,0.0009884353],"genre_scores_gemma":[0.941582,0.0001246579,0.05750347,0.0006570939,0.00002806139,0.000008427483,0.00006446026,0.00001609906,0.00001579045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7344224,"threshold_uncertainty_score":0.2848952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05074493470946897,"score_gpt":0.2568468769170647,"score_spread":0.2061019422075957,"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."}}