{"id":"W3017581962","doi":"10.1364/ol.403362","title":"Discrete dispersion scan setup for measuring few-cycle laser pulses in the mid-infrared","year":2020,"lang":"en","type":"article","venue":"Optics Letters","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Deutscher Akademischer Austauschdienst; Fonds de recherche du Québec – Nature et technologies; Deutsche Forschungsgemeinschaft; Canada Foundation for Innovation","keywords":"Dispersion (optics); Optics; Wavelength; Interferometry; Laser; Monte Carlo method; Pulse (music); Materials science; Infrared; Pulse duration; Physics; Mathematics; Statistics","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":[0.0004204976,0.0002630028,0.0002669025,0.0004677126,0.0003862495,0.0003389,0.0009291826,0.0005113634,0.002898317],"category_scores_gemma":[0.001133358,0.0003583142,0.000150974,0.0003491552,0.0004656137,0.0007220013,0.000585155,0.0009552166,0.0005360803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005133408,"about_ca_system_score_gemma":0.0005805173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007378612,"about_ca_topic_score_gemma":0.001451684,"domain_scores_codex":[0.9996697,0.00004328546,0.00001639716,0.00008256862,0.0001652296,0.00002276476],"domain_scores_gemma":[0.9990591,0.0003962247,0.0001349861,0.0002452998,0.0001155473,0.00004883375],"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":[0.000330271,0.0001688696,0.002680255,0.000129541,0.00002794324,0.00007571677,0.0001061521,0.005831323,0.9622753,0.003879497,0.0002822221,0.02421283],"study_design_scores_gemma":[0.00005330738,0.0003790266,0.002607541,0.00001174814,0.00001864003,0.0002061526,0.00003967158,0.1047911,0.888284,0.001306954,0.002237439,0.00006431881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5273501,0.0005748151,0.4662342,0.0001628149,0.0001211108,0.0001849986,0.0003958683,0.001523066,0.003452896],"genre_scores_gemma":[0.7269213,0.00016148,0.2714516,0.00004860503,0.00001435261,0.0001964219,0.0001287643,0.00007024722,0.001007229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002898317,"threshold_uncertainty_score":0.009695828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956601535799613,"score_gpt":0.251138985569037,"score_spread":0.2315729702110409,"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."}}