{"id":"W2944499349","doi":"10.23919/cleo.2019.8750385","title":"Generation of 0.3-Tw Few-Cycle Driver Pulses via Efficient Cascaded Raman Frequency Down Conversion","year":2019,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Energy conversion efficiency; Frequency conversion; Materials science; Optoelectronics; Optics; Sum-frequency generation; Raman spectroscopy; Waveguide; Shortwave; Energy (signal processing); Raman scattering; Nonlinear optics; Physics; Laser; Electrical engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001528546,0.0002829689,0.0002021453,0.0001552351,0.000227041,0.0002745981,0.000557933,0.0002932548,0.002877265],"category_scores_gemma":[0.0001866428,0.0002497461,0.000141356,0.0001570536,0.000301158,0.000302462,0.0003815899,0.0004156023,0.0007409857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319574,"about_ca_system_score_gemma":0.0003669317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008926096,"about_ca_topic_score_gemma":0.002877402,"domain_scores_codex":[0.999849,0.000006107842,0.000004530032,0.00003393357,0.00007470061,0.00003166772],"domain_scores_gemma":[0.9998695,0.00003291093,0.00003326488,0.00001632852,0.00002254036,0.00002545746],"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":[0.00001732631,0.00001211374,0.0000920529,0.00001709234,0.000001710159,0.00003949673,0.00003774358,0.00009856188,0.9973152,0.0003856874,0.00007896659,0.001904016],"study_design_scores_gemma":[0.000009897538,0.0001058479,0.001074454,0.000002966796,0.000002915576,0.00007577775,0.00001301115,0.004176009,0.9920982,0.00009465853,0.002337055,0.000009086036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974731,0.0002529197,0.0165959,0.0001349231,0.00006041233,0.00007472408,0.0002561709,0.0003611441,0.00753279],"genre_scores_gemma":[0.9754981,0.0002289841,0.0172693,0.00003798591,0.00002666893,0.0000534382,0.000182149,0.00006508786,0.006638348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002877265,"threshold_uncertainty_score":0.009625435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611150383184583,"score_gpt":0.2485543549677863,"score_spread":0.2324428511359405,"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."}}