{"id":"W3008239288","doi":"10.1364/prj.375990","title":"Fully reversible spectral compression of arbitrary pulsed data signals","year":2020,"lang":"en","type":"article","venue":"Photonics Research","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Bandwidth (computing); Waveform; Algorithm; Pulse compression; Data compression; Pulse (music); Pulse sequence; Signal processing; SIGNAL (programming language); Physics; Telecommunications; Nuclear magnetic resonance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001173544,0.000232617,0.000153576,0.0001952414,0.0001313845,0.0002394541,0.0003909635,0.0002303685,0.001417096],"category_scores_gemma":[0.0004926499,0.0001072411,0.0001014891,0.000297666,0.0004648285,0.0005330649,0.0003999225,0.000388444,0.0003643437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001445471,"about_ca_system_score_gemma":0.0001637761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007418,"about_ca_topic_score_gemma":0.0002352033,"domain_scores_codex":[0.9998697,0.00001386096,0.000005515958,0.00002171414,0.00007173589,0.00001746051],"domain_scores_gemma":[0.9997837,0.00007326992,0.00004411506,0.00005764519,0.00003121238,0.00001003818],"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":[0.0002078103,0.00006698396,0.0002544958,0.0001204198,0.00001079609,0.0002441052,0.0001466632,0.009877588,0.893334,0.01063009,0.0005018765,0.08460523],"study_design_scores_gemma":[0.00001027988,0.0001416226,0.0004220383,0.00001053415,0.000004089351,0.0002446873,0.00002818968,0.05656755,0.9382074,0.001381869,0.002967564,0.00001411408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7003791,0.0007868819,0.2837172,0.0003132343,0.0001011134,0.00007928481,0.0002114669,0.0007160536,0.01369569],"genre_scores_gemma":[0.9544193,0.0003725341,0.04101777,0.00007687909,0.00003255669,0.000039235,0.0001440736,0.00005815305,0.003839517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001417096,"threshold_uncertainty_score":0.004740655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2424809698973645,"score_gpt":0.3676280270523924,"score_spread":0.1251470571550279,"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."}}