{"id":"W2612322286","doi":"10.1149/ma2010-01/19/1066","title":"Random Telegraph Signal Noise in CMOS Imagers and Its Impact on Image Quality","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"SIGNAL (programming language); Noise (video); CMOS; Quality (philosophy); Image quality; Computer science; Electronic engineering; Artificial intelligence; Image (mathematics); Engineering; Physics","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":[0.0008661528,0.0002649481,0.0002901267,0.0001600791,0.00006718472,0.0001113516,0.0001216116,0.0001062392,0.00004976233],"category_scores_gemma":[0.0003695979,0.0002398749,0.00009250765,0.000168095,0.00005192377,0.0001870076,0.00001750759,0.0007278456,0.00006343394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003293538,"about_ca_system_score_gemma":0.00001959752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000276786,"about_ca_topic_score_gemma":0.00005565129,"domain_scores_codex":[0.9986556,0.00004557334,0.0003855946,0.0002639689,0.0002098025,0.000439427],"domain_scores_gemma":[0.9990997,0.0004183925,0.00007000718,0.0002007509,0.00003689872,0.0001741966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007854136,0.00004789712,0.004454674,0.00006555262,0.00002057475,0.0000623267,0.0004205616,0.03751264,0.95612,0.000003723988,0.0003078011,0.0009057757],"study_design_scores_gemma":[0.003023377,0.00004285287,0.4999302,0.0001945007,0.00002120228,0.00003687864,0.0001335019,0.01682289,0.4786267,0.0001443926,0.000330736,0.0006927544],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592669,0.00009706818,0.000002253392,0.00008291504,0.0002742632,0.0001563493,0.00001638859,0.0002537347,0.03985014],"genre_scores_gemma":[0.9991487,0.00001686638,0.0005570619,0.00003487898,0.0001476919,0.000006171927,0.000005399039,0.00004629212,0.00003696021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4954756,"threshold_uncertainty_score":0.9781815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008113542345285196,"score_gpt":0.261438330400211,"score_spread":0.2533247880549258,"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."}}