{"id":"W1508933133","doi":"10.1109/iscas.2004.1328690","title":"Design of a pixel array circuit for thinning process","year":2004,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"NMOS logic; Pixel; Computer science; Logic gate; Diode-or circuit; Thinning; Electronic engineering; Asynchronous circuit; CMOS; Process (computing); Pass transistor logic; Digital electronics; Transistor; Electrical engineering; Computer hardware; Electronic circuit; Discrete circuit; Engineering; Artificial intelligence; Synchronous circuit; Voltage; Clock signal","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":[0.00006323733,0.00006746201,0.000091897,0.00003400905,0.00001893224,0.000009803898,0.00006845247,0.00002406517,0.00001283862],"category_scores_gemma":[0.00001669089,0.00006227147,0.00002638624,0.00007939283,0.00001259969,0.00006220087,0.000001736882,0.00004036863,0.000005371705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000177876,"about_ca_system_score_gemma":0.00001614444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003044588,"about_ca_topic_score_gemma":6.247295e-7,"domain_scores_codex":[0.9996287,0.000001901308,0.0001050293,0.00007124936,0.00006099558,0.0001321198],"domain_scores_gemma":[0.999829,0.00002557041,0.00001192341,0.00008047257,0.00003023542,0.00002282981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005770364,0.00002230219,0.00004368142,0.0002396806,0.00003254449,7.111187e-7,0.0027913,0.6258428,0.366893,0.001973863,0.0001719014,0.001982447],"study_design_scores_gemma":[0.001054277,0.00006046333,0.00006779231,0.0001195633,0.00002552814,0.00001156999,0.0006137466,0.02617199,0.9522611,0.0187233,0.0005840075,0.0003066553],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04367837,0.00006201708,0.9509368,0.00003629384,0.00007343289,0.0001521485,0.000001109321,0.0002572246,0.004802597],"genre_scores_gemma":[0.983456,0.000002618491,0.01632222,0.00003623483,0.0000307753,0.00001425018,8.602314e-7,0.00002140058,0.0001156069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9397777,"threshold_uncertainty_score":0.2539357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388106066862348,"score_gpt":0.2318793713904802,"score_spread":0.2079983107218567,"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."}}