{"id":"W2761474755","doi":"10.1103/physreva.96.043817","title":"Non-Gaussian statistics of extreme events in stimulated Raman scattering: The role of coherent memory and source noise","year":2017,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Physics; Raman scattering; Gaussian; Noise (video); Scattering; Amplitude; Optics; Gaussian noise; Computational physics; Statistical physics; Quantum mechanics; Raman spectroscopy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002292901,0.0003913702,0.001435266,0.00003262052,0.0001249491,0.00001641368,0.0008478139,0.00002937196,0.00002380582],"category_scores_gemma":[0.0001926714,0.0002682774,0.0002883365,0.0001987147,0.0004828855,0.0001893746,0.0005246759,0.0004514457,0.00002621937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002615579,"about_ca_system_score_gemma":0.0000402819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001426461,"about_ca_topic_score_gemma":0.000005095205,"domain_scores_codex":[0.9980276,0.0001122579,0.0006816199,0.0004577214,0.0003422297,0.0003785624],"domain_scores_gemma":[0.9972551,0.0002509483,0.0009195001,0.001346844,0.0001146113,0.0001129524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006271106,0.00266445,0.05167896,0.01183109,0.0003251774,0.000004285443,0.000358728,0.0001006237,0.09677008,0.02967566,0.0004272113,0.806101],"study_design_scores_gemma":[0.003769332,0.0009052387,0.1409168,0.07962274,0.002290109,0.000003413913,0.000305601,0.02960654,0.1587272,0.5682783,0.01299279,0.002581962],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761934,0.01657079,0.003371407,0.0006590482,0.00003888286,0.002036896,0.0001299349,0.0000349701,0.0009646374],"genre_scores_gemma":[0.9928901,0.006374761,0.0003181668,0.0000751751,0.0000883787,0.0001617268,0.0000234764,0.00003865006,0.00002961236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8035191,"threshold_uncertainty_score":0.9999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729569406972884,"score_gpt":0.3392026669731613,"score_spread":0.3219069729034324,"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."}}