{"id":"W2014077910","doi":"10.1038/ncomms4643","title":"Frequency domain optical parametric amplification","year":2014,"lang":"en","type":"article","venue":"Nature Communications","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Aviation and Missile Research, Development, and Engineering Center; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Ultrashort pulse; Optical parametric amplifier; Amplifier; Laser; Parametric statistics; Frequency domain; Optics; Envelope (radar); Chirped pulse amplification; Physics; Nonlinear optics; Time domain; Power (physics); Phase (matter); Optical amplifier; Optoelectronics; Materials science; Telecommunications; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001799594,0.0001210848,0.0001224507,0.000117924,0.0004306269,0.00009479527,0.0008843469,0.000102507,0.0002990309],"category_scores_gemma":[0.00003641889,0.0001145289,0.00009587211,0.0004993686,0.0001030937,0.0001511219,0.0001360658,0.0007412383,0.0005837886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003301278,"about_ca_system_score_gemma":0.00002750014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000734876,"about_ca_topic_score_gemma":0.00003344996,"domain_scores_codex":[0.9991575,0.00008936595,0.0002522444,0.0002069123,0.0001237619,0.0001701929],"domain_scores_gemma":[0.9972385,0.0004258708,0.0001117582,0.001987466,0.00014968,0.00008675195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[6.797079e-7,0.0002598865,0.009845771,0.000001323453,0.00002459749,1.522193e-8,0.0000394925,0.000004637451,0.002103292,0.9769416,0.004377401,0.006401326],"study_design_scores_gemma":[0.000480401,0.0000291121,0.04870638,0.0000229481,0.00007907364,0.00000395109,0.0003586005,0.001359361,0.002270331,0.2301302,0.7160756,0.0004840214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1220164,0.000331315,0.2260957,0.02808776,0.0003902056,0.0007526302,0.0001965867,0.000296914,0.6218325],"genre_scores_gemma":[0.9354968,0.000008167924,0.06311477,0.0003325005,0.0001531575,0.0002382741,0.0003348549,0.00001591213,0.000305572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8134804,"threshold_uncertainty_score":0.7503616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426023307339347,"score_gpt":0.3039831837802428,"score_spread":0.2897229507068493,"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."}}