{"id":"W4283017432","doi":"10.1088/1361-6455/ac7990","title":"Spectral broadening for pulse compression using liquid alcohols","year":2022,"lang":"en","type":"article","venue":"Journal of Physics B Atomic Molecular and Optical Physics","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Filamentation; Cuvette; Femtosecond; Materials science; Pulse compression; Pulse (music); Optics; Spectral line; Doppler broadening; Compression (physics); Refractive index; Analytical Chemistry (journal); Laser; Optoelectronics; Chemistry; Physics; Chromatography","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":[0.0001062364,0.0001531152,0.0002738334,0.00002901708,0.0003305778,0.00007337418,0.0001766843,0.00001720903,0.00006432208],"category_scores_gemma":[0.000002423529,0.0001466588,0.000283057,0.000132997,0.00004891469,0.0001931298,0.0001268755,0.0003683318,0.00000186492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005297844,"about_ca_system_score_gemma":0.00007544679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001552725,"about_ca_topic_score_gemma":4.520097e-8,"domain_scores_codex":[0.9990084,0.00003814738,0.0003440484,0.0001696369,0.000221446,0.0002183717],"domain_scores_gemma":[0.9992657,0.00006836798,0.0002841984,0.0001549223,0.0001113875,0.0001153807],"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":[0.0002510067,0.0009328687,0.0003816895,0.00002996034,0.0003573847,0.000009909672,0.0002759473,0.02988727,0.6601688,0.2924105,0.0007487603,0.01454591],"study_design_scores_gemma":[0.003450271,0.0007541247,0.0001253572,0.0001145795,0.0006658114,0.00008833712,0.0008244647,0.08991599,0.6618527,0.2363558,0.005058966,0.0007936327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5819084,0.00002094291,0.4173333,0.0001194434,0.0001180803,0.000125789,0.00003939484,0.000004565813,0.0003300811],"genre_scores_gemma":[0.9920755,9.930421e-7,0.00702644,0.0001231182,0.0006764484,0.00002017534,0.00002116632,0.00002891567,0.00002723347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4103069,"threshold_uncertainty_score":0.5980574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856544606393201,"score_gpt":0.2961735352317949,"score_spread":0.2776080891678629,"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."}}