{"id":"W2064553085","doi":"10.1109/iscas.2010.5537338","title":"A differential 5&lt;sup&gt;th&lt;/sup&gt; derivative Gaussian pulse generator for UWB transceivers","year":2010,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"CMC Microsystems","keywords":"Transceiver; Generator (circuit theory); Pulse generator; Pulse (music); Gaussian; Derivative (finance); Physics; Electrical engineering; Computer science; Differential (mechanical device); Atomic physics; Electronic engineering; Telecommunications; Engineering; Wireless; Voltage; Quantum mechanics; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006987016,0.0003288464,0.0003342109,0.0002292969,0.0002067262,0.00006241169,0.0008179505,0.0003855681,0.001424559],"category_scores_gemma":[0.00005670477,0.0003130725,0.0001777266,0.0002933297,0.0001600793,0.0001840041,0.00003868737,0.0004942452,0.00007164374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006274023,"about_ca_system_score_gemma":0.00003796905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002013433,"about_ca_topic_score_gemma":0.0006672927,"domain_scores_codex":[0.998633,0.00002723043,0.0003573055,0.0003198635,0.0001470216,0.0005155954],"domain_scores_gemma":[0.9986079,0.0001284443,0.00003985239,0.001000884,0.00008388338,0.0001389823],"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":[0.00003308017,0.0001421986,0.0001757265,0.00004789882,0.0002517671,0.00000254002,0.001088508,0.0005706316,0.9402809,0.03094338,0.004506738,0.02195662],"study_design_scores_gemma":[0.004425092,0.0003172271,0.003353529,0.00004573543,0.0002698367,0.00004728504,0.0004696757,0.1175304,0.641562,0.00430251,0.2258477,0.001828917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9044797,0.0001279463,0.07755148,0.001263386,0.0005429516,0.0008224469,0.0001089385,0.00158495,0.0135182],"genre_scores_gemma":[0.9845834,0.00007920012,0.01367428,0.00008534981,0.0001211025,0.0003529648,0.00008238476,0.00008488556,0.0009364538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2987189,"threshold_uncertainty_score":0.9999321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007970846185193007,"score_gpt":0.211020406681101,"score_spread":0.203049560495908,"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."}}