{"id":"W4205150010","doi":"10.1109/tvlsi.2022.3140182","title":"A Receiver Front-End for VCSEL-Based Optical Links With 49 UI Turn-On Time","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Transimpedance amplifier; CMOS; Burst mode (computing); Vertical-cavity surface-emitting laser; Physics; Transceiver; Jitter; Bandwidth (computing); Amplifier; Offset (computer science); Computer science; Electrical engineering; Electronic engineering; Laser; Optoelectronics; Engineering; Optics; Operational amplifier; Telecommunications","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"],"consensus_categories":[],"category_scores_codex":[0.0003095386,0.0003501868,0.0004061666,0.0002532405,0.0004030591,0.0001308682,0.0002165182,0.0002437015,0.0008982374],"category_scores_gemma":[0.000007805764,0.0002984729,0.0002170327,0.0002774648,0.00005103613,0.0002381446,0.000001320296,0.0008594275,0.0002233594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003506571,"about_ca_system_score_gemma":0.00006085739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003544115,"about_ca_topic_score_gemma":0.0001428229,"domain_scores_codex":[0.9980831,0.0001032306,0.0004501179,0.0004389306,0.0004901426,0.0004345196],"domain_scores_gemma":[0.9989751,0.0002744636,0.00006436147,0.0003827961,0.0001228342,0.0001804253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000810797,0.0007508271,0.00001959534,0.0002549397,0.0003084097,0.00002096017,0.0008153135,0.9583268,0.02785292,0.0002821522,0.008180688,0.002376594],"study_design_scores_gemma":[0.002109387,0.001088472,0.00003662442,0.0002477303,0.0001526863,0.00002382198,0.001120165,0.9232824,0.05210162,0.00001101337,0.01921193,0.0006141242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1736849,0.00017311,0.8148289,0.000255546,0.00391048,0.00156434,0.001276357,0.0007355569,0.003570746],"genre_scores_gemma":[0.9952184,0.000007699836,0.0008439368,0.0002134552,0.0001602449,0.0008796539,0.0001212858,0.00009243841,0.002462891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8215334,"threshold_uncertainty_score":0.9999467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009144429560341566,"score_gpt":0.2051092271597679,"score_spread":0.1959647975994263,"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."}}