{"id":"W2084290665","doi":"10.1117/1.2173959","title":"Optical packet compressor","year":2006,"lang":"en","type":"article","venue":"Optical Engineering","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Chirp; Optics; Fiber Bragg grating; Extinction ratio; Computer science; Materials science; Physics; Wavelength; Laser","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":[0.0003420289,0.0005351235,0.0003501818,0.001065581,0.0005986905,0.0007645717,0.0007892569,0.0004773817,0.00518797],"category_scores_gemma":[0.0009307031,0.0002470477,0.0001798403,0.00123183,0.0005037356,0.001418737,0.0006142523,0.0007317317,0.0007170638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006195687,"about_ca_system_score_gemma":0.0004096756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086848,"about_ca_topic_score_gemma":0.001108571,"domain_scores_codex":[0.9995982,0.0000236803,0.00002027385,0.0000511597,0.0002557129,0.00005103548],"domain_scores_gemma":[0.9993976,0.000149597,0.00009752284,0.00010164,0.0002002988,0.00005330536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009390564,0.0001978845,0.001603151,0.0004715165,0.00006722346,0.0006027002,0.0001368232,0.01131886,0.4623622,0.02097203,0.01466583,0.4866628],"study_design_scores_gemma":[0.0001325207,0.000669088,0.002260394,0.00006560374,0.00008211667,0.001301668,0.00008490581,0.1740295,0.7020933,0.003519663,0.11564,0.0001212492],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2646129,0.006435798,0.6809862,0.002068748,0.001020707,0.0008999974,0.001884504,0.006237124,0.03585406],"genre_scores_gemma":[0.7259439,0.003180309,0.2299084,0.0008245338,0.000480805,0.0003218421,0.001694069,0.0003334981,0.03731272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00518797,"threshold_uncertainty_score":0.01735544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003815979036739599,"score_gpt":0.1948462975860765,"score_spread":0.1910303185493369,"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."}}