{"id":"W1592441315","doi":"10.1002/9781118468654.ch4","title":"Low‐Cost VLSI Architecture for Random Block‐Based Access of Pixels in Modern Image Sensors","year":2012,"lang":"en","type":"other","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Architecture; Pixel; Very-large-scale integration; Block (permutation group theory); Computer science; Image (mathematics); Random access; Interface (matter); Computer architecture; Computer hardware; Computer graphics (images); Artificial intelligence; Parallel computing; Embedded system; Art; Mathematics; Operating system; Visual arts; Combinatorics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001856721,0.0003171234,0.0002685573,0.0004536737,0.0003129853,0.0007972635,0.001466356,0.0004127412,0.01200855],"category_scores_gemma":[0.0004170513,0.0002834839,0.0001924867,0.0005895469,0.0001752001,0.0009181328,0.0003607052,0.0005051329,0.003988643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007332846,"about_ca_system_score_gemma":0.0005044285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075451,"about_ca_topic_score_gemma":0.00334601,"domain_scores_codex":[0.9998114,0.00003303354,0.00001202281,0.00002991275,0.00008776633,0.00002592683],"domain_scores_gemma":[0.999844,0.00003955581,0.00001694506,0.00002949386,0.00006158448,0.00000841596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003590401,0.0001945448,0.0009337493,0.000809657,0.00007202664,0.0001932985,0.0002088613,0.01171835,0.3508981,0.06606039,0.03341633,0.5351357],"study_design_scores_gemma":[0.0001773048,0.001557196,0.003108749,0.0002532734,0.0001895512,0.001434428,0.0001252709,0.2447566,0.4379155,0.02527256,0.2850875,0.0001219962],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05827531,0.008556864,0.874998,0.0007383738,0.0005128912,0.0003434489,0.0004519792,0.007108921,0.04901422],"genre_scores_gemma":[0.4131512,0.004344803,0.5159798,0.0006629485,0.0003209781,0.0003222248,0.001119445,0.0005532936,0.06354532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01200855,"threshold_uncertainty_score":0.04017258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00991108490472561,"score_gpt":0.246402508099137,"score_spread":0.2364914231944114,"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."}}