{"id":"W2073161911","doi":"10.1080/09500340.2010.506010","title":"Coherent Raman spectroscopy through one-dimensional random scattering medium","year":2010,"lang":"en","type":"article","venue":"Journal of Modern Optics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Raman scattering; Optics; Coherent anti-Stokes Raman spectroscopy; Scattering; Raman spectroscopy; Spectroscopy; X-ray Raman scattering; Coherent spectroscopy; Laser; Materials science; Phase (matter); Physics; Transmission (telecommunications); Resolution (logic); Spectral resolution; Spectral line; Computational physics; Telecommunications; Computer science; Quantum mechanics","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":[0.0004124528,0.0001536416,0.0002552817,0.00004410094,0.0000615879,0.00003674557,0.0004407348,0.000240062,0.0001451071],"category_scores_gemma":[0.0002441661,0.0001216252,0.0001698487,0.00006208043,0.0002457467,0.000008564859,0.000191218,0.0007037165,0.000004955506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003012256,"about_ca_system_score_gemma":0.0001585723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002365684,"about_ca_topic_score_gemma":0.000004860957,"domain_scores_codex":[0.9984221,0.00002863054,0.0004187466,0.0001921816,0.0006129285,0.0003253829],"domain_scores_gemma":[0.9990566,0.00004075962,0.0001864632,0.0002757845,0.0002291276,0.0002113153],"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":[0.0003819094,0.0001848134,0.0001656369,0.00001504036,0.00006897061,0.00001337175,0.00002217702,0.000009032746,0.9942396,0.00007969182,0.004333868,0.0004858995],"study_design_scores_gemma":[0.001200728,0.0004947144,0.00009607893,0.00003765171,0.00002537833,0.0001386549,0.000006308198,0.0003342297,0.982599,0.006664538,0.008260826,0.0001418962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540095,0.0003926467,0.0420473,0.001368527,0.0004792549,0.0001086584,0.000006067044,0.0000117144,0.001576365],"genre_scores_gemma":[0.9142714,0.0004331303,0.08323106,0.0004128096,0.001347068,0.000004987772,0.00001429435,0.00002895122,0.0002562631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04118376,"threshold_uncertainty_score":0.4959733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530145905240854,"score_gpt":0.3179235134636542,"score_spread":0.3026220544112457,"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."}}