{"id":"W4250580776","doi":"10.1364/ol.29.001945","title":"Wide spectral range third-order autocorrelator based on ultrafast nonresonant nonlinear refraction","year":2004,"lang":"en","type":"article","venue":"Optics Letters","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Autocorrelator; Optics; Ultrashort pulse; Laser; Prism compressor; Kerr effect; Femtosecond pulse shaping; Pulse (music); Mode-locking; Pulse shaping; Materials science; Physics; Chirped pulse amplification; Nonlinear optics; Bandwidth-limited pulse; Self-phase modulation; Nonlinear system; Detector","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":[0.00006487931,0.0001909961,0.0001412467,0.0000742604,0.0002029337,0.00009837283,0.0001369996,0.0000378151,0.0003840809],"category_scores_gemma":[0.000005676808,0.0001750972,0.0001231908,0.0001814299,0.00004373441,0.000149733,0.00001328552,0.0003342037,0.000735056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009256059,"about_ca_system_score_gemma":0.0000530822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001898206,"about_ca_topic_score_gemma":0.000007544758,"domain_scores_codex":[0.9990087,0.00001756657,0.0002269354,0.0002873408,0.0001825212,0.0002769053],"domain_scores_gemma":[0.9993073,0.00008668166,0.0001060126,0.0003598521,0.0000477736,0.00009242376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003446964,0.005769087,0.02728298,0.00006070902,0.000434336,0.00005919745,0.0009192592,0.7279651,0.1659045,0.03112673,0.03456544,0.005568014],"study_design_scores_gemma":[0.01477296,0.0007911884,0.05138066,0.0007379524,0.0005879126,0.00002171282,0.001106848,0.2639069,0.1564995,0.001831022,0.5044755,0.003887772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7972404,0.000001433463,0.1608811,0.02829922,0.0005225727,0.0005550691,0.0001328882,0.000124324,0.01224288],"genre_scores_gemma":[0.9734854,7.332409e-7,0.02027582,0.004883133,0.0006378446,0.0001278624,0.0001455173,0.00004194659,0.0004017835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4699101,"threshold_uncertainty_score":0.9447903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007361661210327396,"score_gpt":0.2408355886989788,"score_spread":0.2334739274886514,"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."}}