{"id":"W2546152485","doi":"10.1109/photonics.2010.5698948","title":"Temporal pulse shaping using a continuous sampling function","year":2010,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pulse (music); Pulse shaping; Sampling (signal processing); Computer science; Bandwidth-limited pulse; Femtosecond pulse shaping; Pulse wave; Repetition (rhetorical device); Multiplication (music); Function (biology); Optics; Pulse repetition frequency; Ultrashort pulse; Electronic engineering; Telecommunications; Physics; Acoustics; Jitter; Laser; Engineering","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":[0.0003217269,0.0002324821,0.000144305,0.0002723135,0.0001793629,0.0003115557,0.000431209,0.0002217227,0.001373165],"category_scores_gemma":[0.0007250814,0.0001310718,0.0001274284,0.000286001,0.0003567158,0.0003192803,0.0002588363,0.0003314919,0.0003250145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002692188,"about_ca_system_score_gemma":0.0003412386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003368747,"about_ca_topic_score_gemma":0.0004753103,"domain_scores_codex":[0.9998026,0.00002987121,0.000009823266,0.00003476136,0.00009937898,0.00002354152],"domain_scores_gemma":[0.9995239,0.0002105456,0.00008540139,0.00006789223,0.00008440868,0.00002793939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002142393,0.00004962619,0.0004247306,0.0001016197,0.00001007698,0.0001020159,0.0000796204,0.001791355,0.9297249,0.009343714,0.0003956996,0.05776228],"study_design_scores_gemma":[0.00005761664,0.0005811332,0.0008182083,0.00001776579,0.00002220489,0.0006667718,0.00001628624,0.04574643,0.9417836,0.001178612,0.009078874,0.00003240825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3929871,0.0008809368,0.5911751,0.0002732048,0.0001426066,0.0001155683,0.0001252968,0.001795488,0.01250473],"genre_scores_gemma":[0.8118153,0.0003013513,0.1846357,0.0001092715,0.00006641392,0.00005471919,0.00007336643,0.00007790712,0.002866083],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001373165,"threshold_uncertainty_score":0.00459373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512885975843755,"score_gpt":0.2476826975840523,"score_spread":0.2125538378256147,"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."}}