{"id":"W2017394987","doi":"10.1117/12.842758","title":"Coherent anti-Stokes Raman scattering microscopy using photonic crystal fibers","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Supercontinuum; Photonic-crystal fiber; Raman scattering; Microscopy; Optics; Materials science; Raman spectroscopy; SIGNAL (programming language); Coherent anti-Stokes Raman spectroscopy; Photonic crystal; Optical fiber; Photonics; Pulse (music); Noise (video); Optoelectronics; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004163437,0.0004547636,0.000490377,0.0001727919,0.0001369753,0.0002040586,0.001161101,0.0002872138,0.00005207972],"category_scores_gemma":[0.0001458631,0.0004285701,0.0006995691,0.0005364889,0.0004257838,0.000586914,0.0001658708,0.0007128736,0.000004115377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474165,"about_ca_system_score_gemma":0.00003320471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001287368,"about_ca_topic_score_gemma":8.272784e-7,"domain_scores_codex":[0.9975461,1.305536e-8,0.0007876429,0.0004468791,0.000600877,0.0006184781],"domain_scores_gemma":[0.998422,0.000117676,0.0002395181,0.0001225867,0.0008873973,0.0002108775],"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":[0.00001906503,0.00008281423,0.0007111615,0.0004237028,0.0003332531,7.57257e-8,0.0001424689,0.0009367245,0.932707,0.06374981,0.0007638705,0.0001300236],"study_design_scores_gemma":[0.001028649,0.00014719,0.001773395,0.0003378836,0.0002603603,0.00003750541,0.0008672943,0.1625812,0.8282633,0.0009237855,0.002982736,0.0007967743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960096,0.00007843954,0.0001294887,0.0003740209,0.0004827317,0.0007664853,0.00006880068,0.000292355,0.001798053],"genre_scores_gemma":[0.8480209,0.000047044,0.1512678,0.00003621948,0.0002936891,0.0001870036,0.000009068153,0.0001073669,0.00003094949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1616444,"threshold_uncertainty_score":0.9998166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112420230648313,"score_gpt":0.2400653164780912,"score_spread":0.228941114171608,"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."}}