{"id":"W2612317234","doi":"10.1364/cleo_si.2017.sm2l.6","title":"Multi-wavelength Coherent Brillouin Random Fiber Laser with High Optical Signal-to-Noise Ratio","year":2017,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Random lasers and scattering media","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Brillouin scattering; Optics; Rayleigh scattering; Fiber laser; Lasing threshold; Brillouin zone; SIGNAL (programming language); Optical fiber; Materials science; Dispersion-shifted fiber; Wavelength; Random laser; Laser; Polarization-maintaining optical fiber; Signal-to-noise ratio (imaging); Physics; Fiber optic sensor; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004812658,0.0004305788,0.0003167463,0.0003365801,0.0003930109,0.0003261639,0.0005879477,0.0006303879,0.0007458185],"category_scores_gemma":[0.0003756027,0.00029359,0.0001297612,0.0002444767,0.0005501256,0.0006723125,0.0005071114,0.0004374358,0.000264532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005095825,"about_ca_system_score_gemma":0.0005403092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005399238,"about_ca_topic_score_gemma":0.001599155,"domain_scores_codex":[0.9995023,0.00005897799,0.00001652566,0.0001127846,0.000251236,0.0000580262],"domain_scores_gemma":[0.9994714,0.0001140118,0.0001471924,0.00004871015,0.0001459353,0.0000728603],"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":[0.00005879636,0.00003639847,0.0003068069,0.00002129177,0.000004548718,0.0000698787,0.00003099006,0.0004340777,0.9945861,0.001283246,0.00006667674,0.003101194],"study_design_scores_gemma":[0.00007713494,0.0004787335,0.001523759,0.00001267795,0.00001719222,0.0004132654,0.00002328415,0.03478939,0.9597248,0.000512349,0.002388521,0.00003896168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503181,0.0003146002,0.04597775,0.0002932651,0.00003294707,0.00005971864,0.00008622002,0.0002939805,0.002623408],"genre_scores_gemma":[0.9442932,0.0001653036,0.05335287,0.0000705132,0.00003059546,0.00006711076,0.00006046669,0.00002701881,0.001932956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007458185,"threshold_uncertainty_score":0.003697336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684787107522373,"score_gpt":0.2433111748110335,"score_spread":0.2264633037358098,"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."}}