{"id":"W2740203658","doi":"10.1109/cicc.2017.7993653","title":"A CMOS pixel design with binary space-time exposure encoding for computational imaging","year":2017,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Pixel; Encoding (memory); Image sensor; CMOS; Computer science; CMOS sensor; Binary number; Computer hardware; Artificial intelligence; Electronic engineering; Engineering; 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":[0.0001097248,0.0001446019,0.0001344443,0.00005406166,0.0002967131,0.0001877951,0.0001630262,0.00002261839,0.00005079844],"category_scores_gemma":[0.0000234991,0.0001255364,0.00004065568,0.00003018737,0.00005064555,0.0002683276,0.00002131525,0.00007113222,0.00003984438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003135721,"about_ca_system_score_gemma":0.00002060309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006748347,"about_ca_topic_score_gemma":0.000001173021,"domain_scores_codex":[0.9993732,0.000007806969,0.0001060293,0.000163681,0.0001129881,0.0002362844],"domain_scores_gemma":[0.9995268,0.00009870526,0.0000343253,0.0002328075,0.00004961158,0.00005773406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008243138,0.00004617837,0.005513654,0.0001293059,0.0001401224,0.00004609023,0.0006640762,0.9024405,0.0543988,0.001452389,0.02643562,0.008650765],"study_design_scores_gemma":[0.0008382159,0.00004742919,0.002431676,0.0000672423,0.00002333722,0.00003830862,0.00009121697,0.9911028,0.002517576,0.0005121426,0.002036407,0.0002937159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09247938,0.0001478098,0.8874176,0.001097861,0.0003238462,0.0004873817,0.00001259292,0.0007936663,0.01723988],"genre_scores_gemma":[0.9130771,0.000002531011,0.08556858,0.00004999684,0.00009783692,0.00002029701,0.000006653884,0.00004284349,0.001134155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8205977,"threshold_uncertainty_score":0.5119227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418309362476645,"score_gpt":0.2211459761313063,"score_spread":0.2069628825065399,"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."}}