{"id":"W2464977643","doi":"","title":"Compression and Amplification of SWIR Single-Cycle Pulses for Water Window Attosecond Pulse Generation","year":2015,"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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Water window; Attosecond; Pulse compression; Window (computing); Optics; Compression (physics); Pulse (music); Materials science; Ultrashort pulse; Physics; Computer science; Telecommunications; Laser","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":[0.00006563844,0.000115876,0.0001412581,0.00004248957,0.0001209851,0.00009442886,0.00005708168,0.00003550693,0.00005775725],"category_scores_gemma":[0.000003411169,0.00009018149,0.00002793752,0.00003598209,0.00005152537,0.0001412636,0.00001951898,0.00007120109,0.000005743777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001221519,"about_ca_system_score_gemma":0.00002701102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003749833,"about_ca_topic_score_gemma":0.000007850272,"domain_scores_codex":[0.9993609,0.00001645541,0.0001858109,0.0002031149,0.00006940374,0.0001643399],"domain_scores_gemma":[0.9994785,0.00003375135,0.00008094603,0.0001517788,0.0001668749,0.00008819083],"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":[0.00006884113,0.0003229011,0.0009862931,0.00002498979,0.00004313092,9.775556e-8,0.0003588959,0.000190065,0.9310571,0.04721071,0.001562205,0.0181748],"study_design_scores_gemma":[0.0009741991,0.0004416,0.0002776712,0.00003481118,0.00005634155,0.000001478154,0.0004514734,0.0345766,0.9451612,0.01441355,0.003377529,0.0002335735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746656,0.00001225755,0.02230373,0.000740117,0.00005506793,0.0002644437,0.00006877402,0.00001157797,0.001878455],"genre_scores_gemma":[0.9981946,0.000007908333,0.0008879756,0.00006635054,0.0001449093,0.00006846645,0.0002995204,0.00001102279,0.0003192255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03438653,"threshold_uncertainty_score":0.3677494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06205740188975196,"score_gpt":0.284513526991192,"score_spread":0.2224561251014401,"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."}}