{"id":"W2045952752","doi":"10.7567/apex.6.062701","title":"Wideband Raman-Pumped Wavelength-Swept Laser for Optical Coherence Tomography Application","year":2013,"lang":"en","type":"article","venue":"Applied Physics Express","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Optical coherence tomography; Raman amplification; Wideband; Optics; Laser; Materials science; Wavelength; Fiber laser; Raman spectroscopy; Multiplexing; Bandwidth (computing); Wavelength-division multiplexing; Optoelectronics; Physics; Optical amplifier; Telecommunications; 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":[0.00008105762,0.0003603819,0.0003290455,0.00007394288,0.0001474431,0.0001386686,0.0004786435,0.0001768347,0.00007114376],"category_scores_gemma":[0.000007441398,0.0003776493,0.0001657314,0.0005536403,0.0001709171,0.0002449503,0.00005600057,0.000272927,0.0003737103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003026136,"about_ca_system_score_gemma":0.00001386397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001315396,"about_ca_topic_score_gemma":0.000002196599,"domain_scores_codex":[0.9982753,0.000008216583,0.0003728062,0.0005048177,0.0002647157,0.0005740992],"domain_scores_gemma":[0.9984733,0.0003105664,0.00006343465,0.0007697291,0.0001474319,0.000235571],"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":[0.0000367281,0.0003980871,0.0001986088,0.0002972902,0.0002308698,3.346857e-7,0.0003435248,0.009376366,0.5629619,0.2501389,0.01386044,0.1621569],"study_design_scores_gemma":[0.002437592,0.0001094774,0.002053994,0.0000526918,0.0002153651,0.000001897222,0.0002576683,0.129059,0.660593,0.1793588,0.02374172,0.002118741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1848436,0.00007660087,0.7668009,0.0001023591,0.000144996,0.005095283,0.0001008611,0.001398756,0.04143662],"genre_scores_gemma":[0.9654841,0.000009734048,0.02273399,0.0001158633,0.0002420012,0.01113828,0.0001341397,0.00009215329,0.00004968006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7806406,"threshold_uncertainty_score":0.9998676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009879316514366073,"score_gpt":0.2172771183331123,"score_spread":0.2073978018187463,"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."}}