{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001724992,0.0002761121,0.0002213393,0.000250275,0.0001962412,0.0003953733,0.0002388353,0.0002911565,0.0008571629],"category_scores_gemma":[0.0008215115,0.0001182613,0.00007354643,0.0004237908,0.0004321999,0.0005610623,0.0002923384,0.0002791907,0.0002752062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222427,"about_ca_system_score_gemma":0.0001195958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001505403,"about_ca_topic_score_gemma":0.0002623736,"domain_scores_codex":[0.9998513,0.00001937143,0.000005610735,0.00001919456,0.00008095466,0.00002357439],"domain_scores_gemma":[0.9996423,0.000193483,0.00006607779,0.00004401877,0.00004218087,0.00001203411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001671876,0.00003503381,0.0008899348,0.0001218015,0.000007409838,0.00009970728,0.00008401064,0.005942233,0.9513375,0.01432374,0.0003536452,0.02663783],"study_design_scores_gemma":[0.00002183434,0.0001501245,0.0009212619,0.00001496072,0.00001124429,0.000162627,0.00002961859,0.04508988,0.9455958,0.003459004,0.004530331,0.00001334202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8790616,0.003368169,0.1089527,0.0007196348,0.0001123713,0.00004865423,0.0002026819,0.000364824,0.007169349],"genre_scores_gemma":[0.9543946,0.001306398,0.04206275,0.0001146469,0.00004498379,0.00003933777,0.0001320413,0.00004111405,0.001864173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008571629,"threshold_uncertainty_score":0.00286752,"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."}}