{"id":"W2081089343","doi":"10.1109/jsen.2013.2282624","title":"Low-Noise, High-Gain Transimpedance Amplifier Integrated With SiAPD for Low-Intensity Near-Infrared Light Detection","year":2013,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Transimpedance amplifier; Optoelectronics; CMOS; Materials science; Avalanche photodiode; Amplifier; Photodiode; Preamplifier; Low-noise amplifier; Electrical engineering; Physics; Optics; Operational amplifier; Engineering; Detector","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002429682,0.0004614572,0.0003464359,0.000313039,0.0001593966,0.000452582,0.001538941,0.0004639741,0.0008047075],"category_scores_gemma":[0.0003354361,0.0003113354,0.0002962185,0.0003321128,0.0002316657,0.0007507917,0.00033132,0.0004823941,0.0005248797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004792435,"about_ca_system_score_gemma":0.0003763601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003795713,"about_ca_topic_score_gemma":0.001281249,"domain_scores_codex":[0.9996245,0.00002897715,0.00001620113,0.0001156532,0.0001795945,0.00003507786],"domain_scores_gemma":[0.9996879,0.00006646894,0.0000659725,0.00004214946,0.0001091731,0.00002831133],"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":[0.00006114781,0.00002363379,0.0006264191,0.00007529548,0.00001928797,0.0001095805,0.00002988625,0.0003014041,0.9854403,0.0004310842,0.0001724863,0.01270946],"study_design_scores_gemma":[0.00002831417,0.0007146064,0.003163061,0.00001162927,0.00008883871,0.001079026,0.00003991917,0.02613699,0.9617408,0.0002146888,0.006754086,0.0000280535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5733073,0.003448095,0.4133862,0.0003839681,0.0003033125,0.0001743517,0.000391756,0.002146094,0.006458945],"genre_scores_gemma":[0.8352545,0.000806362,0.1592829,0.0001768002,0.00008526507,0.00006261771,0.0002334095,0.00004626828,0.004051873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001538941,"threshold_uncertainty_score":0.003477097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00660272575008562,"score_gpt":0.213860498185438,"score_spread":0.2072577724353523,"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."}}