{"id":"W2162618988","doi":"10.1109/icsens.2010.5690140","title":"A variable topology partitioned pixel amplifier for low and high light level detection in a CMOS imager","year":2010,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"CMC Microsystems","keywords":"Reset (finance); Amplifier; Pixel; Computer science; CMOS; Electronic engineering; Topology (electrical circuits); Noise (video); Electrical engineering; Engineering; Artificial intelligence; Image (mathematics)","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":[0.00007729821,0.00008507533,0.0001053719,0.00006484138,0.00003872773,0.00002862164,0.00003304818,0.00007893905,0.0001331625],"category_scores_gemma":[0.00003497591,0.00008158474,0.00001668469,0.00008308666,0.00002236136,0.0000973758,0.000009394093,0.0001273622,0.00001275714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001328019,"about_ca_system_score_gemma":0.000006074614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001071082,"about_ca_topic_score_gemma":0.0006446284,"domain_scores_codex":[0.9995205,0.000005583348,0.0001196551,0.0001304374,0.00003285599,0.0001909936],"domain_scores_gemma":[0.999777,0.00004408097,0.000009519045,0.0001081412,0.00002314063,0.00003809378],"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":[0.00001761568,0.00002807957,0.0002639832,0.0000577055,0.00001374235,0.000001473993,0.0001535388,0.0003078249,0.9865292,0.00669701,0.0007886098,0.005141193],"study_design_scores_gemma":[0.003113937,0.00009308159,0.01531322,0.00003980301,0.00004044882,0.00008921622,0.0001816827,0.1350256,0.7757553,0.02855696,0.04103929,0.0007514651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8072109,0.0000140063,0.1890715,0.0003530812,0.0006478329,0.0002022002,0.00001030063,0.0001920234,0.002298166],"genre_scores_gemma":[0.9851978,0.000002764864,0.01368473,0.0001046597,0.00009493884,0.00005800762,0.000003699132,0.00001826797,0.0008351009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2107739,"threshold_uncertainty_score":0.3326929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006904720632106767,"score_gpt":0.2024594411009522,"score_spread":0.1955547204688455,"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."}}