{"id":"W2157322820","doi":"10.1109/iscas.2005.1464656","title":"A Wide Dynamic Range CMOS Active Pixel Sensor with Frame Difference","year":2005,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"CMC Microsystems","keywords":"CMOS; Pixel; Dram; Dynamic range; Image sensor; Rolling shutter; Frame (networking); Dot pitch; Shutter; Frame rate; HARP; Chip; CMOS sensor; High dynamic range; Wide dynamic range; Electrical engineering; Physics; Optoelectronics; Computer science; Optics; Engineering; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001860096,0.0003145609,0.0004495909,0.000258857,0.0002359157,0.0003742723,0.0007727238,0.0005602126,0.001363928],"category_scores_gemma":[0.0002561288,0.0001942598,0.0001820079,0.0002645979,0.0001851708,0.0004378644,0.0003316091,0.0003969161,0.0005534078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004038623,"about_ca_system_score_gemma":0.0003350654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006434335,"about_ca_topic_score_gemma":0.0006587521,"domain_scores_codex":[0.9996768,0.00002392036,0.00001009307,0.000101242,0.0001556037,0.00003223838],"domain_scores_gemma":[0.9997453,0.00003410641,0.00003662365,0.00002254369,0.0001132525,0.00004817804],"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":[0.00005371243,0.00003224798,0.0004526382,0.00005989581,0.00000864807,0.0001534405,0.00002455649,0.0002076826,0.9746838,0.0003933949,0.001133131,0.02279699],"study_design_scores_gemma":[0.00001584919,0.0003429981,0.001854789,0.000005624986,0.00003109991,0.001367607,0.00002378613,0.005987733,0.9812982,0.0001263753,0.008923793,0.00002218308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7231678,0.00588836,0.2443201,0.001298546,0.0006946201,0.000209402,0.00165559,0.005948672,0.01681693],"genre_scores_gemma":[0.8138423,0.001059512,0.175563,0.0003930636,0.0001184565,0.00008022125,0.0004474254,0.00005839388,0.008437654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001363928,"threshold_uncertainty_score":0.004562795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003678878393264547,"score_gpt":0.1865079447075514,"score_spread":0.1828290663142869,"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."}}