{"id":"W2122876757","doi":"10.1109/ted.2003.811392","title":"Modeling and optimization of resonant cavity enhanced-separated absorption graded charge multiplication-avalanche photodetector (RCE-SAGCM-APD)","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Electron Devices","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photodetector; Spice; Avalanche photodiode; Multiplication (music); Optoelectronics; Inductance; Absorption (acoustics); Materials science; Inductor; Bandwidth (computing); Equivalent series resistance; Capacitance; Optics; Physics; Electronic engineering; Voltage; Computer science; Telecommunications; Engineering; Detector; Acoustics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001507382,0.0002299224,0.0002627623,0.0001434952,0.0001215689,0.0000271303,0.00009622922,0.0001535491,0.00007336398],"category_scores_gemma":[0.000006717596,0.0002266245,0.00006960474,0.0003391381,0.00003560406,0.0002393085,5.441628e-7,0.0002611265,0.00001447319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009283466,"about_ca_system_score_gemma":0.00003210904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005632031,"about_ca_topic_score_gemma":0.0001544426,"domain_scores_codex":[0.9987841,0.00005252456,0.0003541162,0.0002972143,0.0001871609,0.0003249164],"domain_scores_gemma":[0.9994788,0.00006803248,0.00005758707,0.0002163832,0.00008543597,0.00009374624],"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":[0.00003688485,0.00006881897,0.00000411663,0.00008259212,0.00005061918,2.058113e-7,0.000157041,0.8205783,0.177991,0.0000790441,0.000001475182,0.0009498951],"study_design_scores_gemma":[0.0002831304,0.00005454004,0.00002112584,0.00003063238,0.00003469398,0.000002011469,0.00001852472,0.5848615,0.4144914,0.0000211933,0.0000374003,0.0001437959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5387524,0.0005383375,0.4598383,0.000009162402,0.00009447773,0.0002591952,0.00001479674,0.0001682998,0.0003249972],"genre_scores_gemma":[0.9969738,0.001199655,0.001593972,0.00002419589,0.00001285154,0.0001017468,0.000009586971,0.00003799054,0.00004618637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4582444,"threshold_uncertainty_score":0.9241479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110400121779527,"score_gpt":0.2297460845352172,"score_spread":0.2186420833174219,"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."}}