{"id":"W2802245042","doi":"10.1364/cleo_si.2018.sf3n.7","title":"On-the-fly Recovery of Arbitrary Waveforms from In-band Noise by Linear Coherent Spectral Energy Re-distribution","year":2018,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Broadband; Waveform; Noise (video); Phase noise; Energy (signal processing); Computer science; Spectral power distribution; Acoustics; Electronic engineering; Distribution (mathematics); Physics; Telecommunications; Optics; Mathematics; Engineering; Artificial intelligence; Mathematical analysis","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":[0.00005937913,0.0002180955,0.0002544546,0.00004355038,0.00008881897,0.00003266765,0.0001913739,0.00009854496,0.0001214752],"category_scores_gemma":[0.00001524251,0.0001632872,0.00005520228,0.0001482101,0.000254181,0.00009324235,0.00003237046,0.0003089028,0.000008508863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004465414,"about_ca_system_score_gemma":0.00006906701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001882864,"about_ca_topic_score_gemma":0.00004239084,"domain_scores_codex":[0.9989334,0.00002346892,0.0002541536,0.0003030616,0.0001372045,0.0003486685],"domain_scores_gemma":[0.9993027,0.0001215441,0.0001433367,0.0003098163,0.00006545679,0.00005714475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001168372,0.0007791302,0.003418134,0.00002103309,0.0002411719,0.000007948075,0.0002245287,0.0001127594,0.09128597,0.860459,0.009767719,0.03251418],"study_design_scores_gemma":[0.0006345375,0.001189669,0.000271451,0.0000888112,0.00002120266,2.72852e-7,0.0002576378,0.004024972,0.7562624,0.2361934,0.0007792695,0.0002763038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854829,0.00004016552,0.008257099,0.0006210178,0.0000691007,0.0001297741,0.0004007445,0.0000364936,0.004962731],"genre_scores_gemma":[0.9989494,0.0001019069,0.0002320535,0.0001065967,0.00009768822,0.00001795171,0.00027306,0.00001511222,0.0002062486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6649765,"threshold_uncertainty_score":0.6658658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054630128439878,"score_gpt":0.2230446791521223,"score_spread":0.2124983778677235,"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."}}