{"id":"W1990493240","doi":"10.1063/1.3002320","title":"Merged phototransistor pixel with enhanced near infrared response and flicker noise reduction for biomolecular imaging","year":2008,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flicker noise; Optoelectronics; Materials science; Flicker; Transistor; Image sensor; Photodiode; Biasing; Optics; Dark current; Pixel; Silicon; Noise (video); Infrared; Image resolution; Noise-equivalent power; Photoresistor; Amorphous silicon; Dot pitch; Thin-film transistor; Photodetector; CMOS; Noise figure; Nanotechnology; Physics; Voltage; Computer science; Amplifier; Crystalline silicon","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005577408,0.0002093237,0.0001779126,0.00004344949,0.0001716251,0.00003142729,0.00006646563,0.0000262687,0.000002295963],"category_scores_gemma":[0.000002823994,0.0002192901,0.00004897917,0.0001823225,0.0001656158,0.0001027159,0.0000076412,0.0001135564,0.000006109563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004749259,"about_ca_system_score_gemma":0.00001575545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005857822,"about_ca_topic_score_gemma":2.011232e-7,"domain_scores_codex":[0.9991947,0.00001300925,0.0001350938,0.000259724,0.0001284592,0.0002689662],"domain_scores_gemma":[0.999623,0.0000310445,0.00003014222,0.0002282573,0.00002334154,0.00006419119],"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":[0.0003805121,0.00001384832,0.000008084142,0.00003212534,0.00005123656,0.00000446317,0.002215057,0.00604052,0.9890157,0.00002602427,0.001157367,0.00105504],"study_design_scores_gemma":[0.001599867,0.00002041993,0.000427545,0.00002310462,0.00005769486,0.00002699419,0.0001028119,0.005573004,0.9862226,0.00003617449,0.005418355,0.0004914734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014499,0.00003372447,0.09748568,0.0002051062,0.00009316589,0.000312229,0.000008147925,0.0002360471,0.0001760007],"genre_scores_gemma":[0.9924279,0.000008952936,0.006765884,0.0004670391,0.0001038401,0.00009900207,0.00001971357,0.00007984121,0.00002777003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09097806,"threshold_uncertainty_score":0.8942389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005009740024380568,"score_gpt":0.1800259232661936,"score_spread":0.1750161832418131,"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."}}