{"id":"W3214252656","doi":"10.1364/ol.442748","title":"Correcting spectral baseline fluctuations in dual-comb interferometry","year":2021,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interferometry; Fourier transform; Amplitude; Measure (data warehouse); Beat (acoustics); Filter (signal processing); Laser; Baseline (sea); Spectral density","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":[0.00007577234,0.0001165478,0.0001415429,0.0001073667,0.00005029394,0.00003897502,0.00007525011,0.00002848153,0.0001831635],"category_scores_gemma":[0.00005655933,0.000131053,0.00005273113,0.0004068131,0.00004353921,0.0001129954,0.00009346132,0.00031859,0.00003476183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004611691,"about_ca_system_score_gemma":0.00002136949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001669757,"about_ca_topic_score_gemma":0.00001148164,"domain_scores_codex":[0.9992267,0.00002433926,0.0001974523,0.0002220022,0.00008411628,0.0002454055],"domain_scores_gemma":[0.9995059,0.0001274955,0.00005229855,0.0002569946,0.00003028681,0.00002704997],"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":[0.00003302938,0.0008476105,0.1944364,0.00005579275,0.0003089265,0.0006466025,0.001757869,0.04210429,0.6096485,0.05156918,0.005146093,0.0934457],"study_design_scores_gemma":[0.002664513,0.00008666331,0.01779659,0.000272284,0.00009394375,0.00007524312,0.009955198,0.0258571,0.9218639,0.01757936,0.002181717,0.001573485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8674789,0.00001713478,0.1274345,0.003004744,0.0002535426,0.00005888489,0.00001371762,0.000073041,0.001665535],"genre_scores_gemma":[0.9608112,0.000001148969,0.03846856,0.0003383353,0.0001238462,0.00001054371,0.00005008488,0.00001736297,0.0001789476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3122154,"threshold_uncertainty_score":0.5344186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009489879416117002,"score_gpt":0.2463258287117825,"score_spread":0.2368359492956655,"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."}}