{"id":"W2004002071","doi":"10.1117/12.480580","title":"Optical sampling-step and effective resolution bandwidth: a fundamental aspect of component testing","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Exfo Electro-Optical Engineering (Canada)","funders":"","keywords":"Bandwidth (computing); Computer science; Optics; Sampling (signal processing); Optical filter; SIGNAL (programming language); Electronic engineering; Telecommunications; Physics; Detector","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":[0.00314717,0.0006569852,0.001134071,0.001747835,0.0004951266,0.002861688,0.001468517,0.001546579,0.002722958],"category_scores_gemma":[0.01078041,0.0004253527,0.000259138,0.001451624,0.003331565,0.004139423,0.001238543,0.001883042,0.00084003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007834571,"about_ca_system_score_gemma":0.0005609276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002902591,"about_ca_topic_score_gemma":0.0002521759,"domain_scores_codex":[0.9960458,0.0007962785,0.0002289358,0.0004107017,0.002346561,0.0001716546],"domain_scores_gemma":[0.9934556,0.00466842,0.0003942803,0.000471872,0.0009102842,0.00009966439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002367383,0.00004626536,0.00145061,0.002129473,0.00004944178,0.0004012318,0.0004449799,0.00790324,0.04619651,0.5209391,0.002793188,0.4174093],"study_design_scores_gemma":[0.00002826706,0.0006302694,0.003451377,0.001024844,0.0001110118,0.005453317,0.0004820779,0.02360529,0.1223458,0.6724471,0.1702396,0.0001811157],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01699645,0.1408794,0.7860644,0.002647314,0.001332263,0.000122531,0.00008247174,0.0005436378,0.05133152],"genre_scores_gemma":[0.5847383,0.1316118,0.2638933,0.001602562,0.002771932,0.0003273795,0.0001260505,0.0006204565,0.01430822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00314717,"threshold_uncertainty_score":0.016644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450385615184232,"score_gpt":0.2390124884070456,"score_spread":0.2145086322552033,"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."}}