{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005287005,0.0001086775,0.0002241595,0.0001115019,0.00005269427,0.00003425443,0.001369991,0.0001253924,0.0002974057],"category_scores_gemma":[0.0003002641,0.0001048354,0.00003474205,0.0007989348,0.000167397,0.0001711247,0.0008723642,0.0009002945,0.00009717133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000041822,"about_ca_system_score_gemma":0.00005617654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001341351,"about_ca_topic_score_gemma":0.000003796055,"domain_scores_codex":[0.9983654,0.00005612555,0.0002297724,0.000293274,0.0005638913,0.0004915445],"domain_scores_gemma":[0.9986819,0.0002841627,0.00001601683,0.0008004333,0.00008085518,0.000136608],"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":[0.0002931636,0.0001835333,0.0007589618,0.001265502,0.0002124383,0.000167582,0.0004157748,0.04057667,0.7855821,0.004923443,0.158879,0.00674183],"study_design_scores_gemma":[0.0002331452,0.0001180371,0.00008057794,0.00006007264,0.000005047267,0.000001332408,0.0001241306,0.8385334,0.1502992,0.0013871,0.009035246,0.0001226927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397333,0.004866762,0.001496873,0.002867673,0.0001688523,0.0009737799,0.0002316452,0.001280607,0.04838048],"genre_scores_gemma":[0.982557,0.0008602128,0.01639748,0.0000317035,0.00003521812,0.000008174458,0.00004528827,0.00003388516,0.00003106697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7979567,"threshold_uncertainty_score":0.4275063,"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."}}