{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002775865,0.0003540757,0.000231288,0.0004417304,0.0004540278,0.000698453,0.001031074,0.0006780121,0.005637614],"category_scores_gemma":[0.0007800102,0.0002766317,0.0002379121,0.0005362255,0.0005798839,0.0008548325,0.0009119127,0.0009855753,0.002049194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000546322,"about_ca_system_score_gemma":0.0002984329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002407289,"about_ca_topic_score_gemma":0.0003193777,"domain_scores_codex":[0.999587,0.0000327028,0.00001419691,0.0001051737,0.0001969994,0.00006393403],"domain_scores_gemma":[0.999637,0.0001094609,0.00006558374,0.00007844743,0.00008720891,0.00002235939],"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":[0.0001066301,0.00007891975,0.0003887876,0.0003355044,0.00001876208,0.0001222965,0.0001787665,0.001280854,0.8744375,0.03570983,0.002740451,0.08460176],"study_design_scores_gemma":[0.00002686313,0.0001796759,0.0007106148,0.00003684407,0.00001877967,0.0007301735,0.00005781447,0.02339434,0.8767479,0.009605687,0.08843882,0.00005247667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2595719,0.01112542,0.5746489,0.003044235,0.000972938,0.0006075596,0.0008905476,0.003375521,0.1457629],"genre_scores_gemma":[0.8410113,0.002539495,0.1300549,0.0003959027,0.0001387491,0.0002311979,0.0002732426,0.0001070876,0.02524807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005637614,"threshold_uncertainty_score":0.01885968,"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."}}