{"id":"W4235196199","doi":"10.32920/ryerson.14653755","title":"CMOS Digital Pixel Sensors With In-Pixel Analog-To-Digital Conversion","year":2021,"lang":"en","type":"preprint","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pixel; CMOS; Dynamic range; Electronic engineering; Image sensor; Computer science; Pulse-frequency modulation; Modulation (music); CMOS sensor; Dot pitch; Pulse-width modulation; Computer hardware; Voltage; Pulse (music); Artificial intelligence; Computer vision; Engineering; Electrical engineering; Pulse-amplitude modulation; Physics; Acoustics","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":[0.0002165835,0.000355338,0.0003851598,0.0001915524,0.0001725783,0.0006903142,0.0008205374,0.0004770719,0.001496735],"category_scores_gemma":[0.0005409032,0.0003023501,0.0001506142,0.0002628882,0.00019312,0.000680735,0.0002750834,0.0003181251,0.000449176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103086,"about_ca_system_score_gemma":0.0002355837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001455504,"about_ca_topic_score_gemma":0.0003388081,"domain_scores_codex":[0.9997024,0.00003004463,0.00001588782,0.00004807028,0.0001816274,0.00002195949],"domain_scores_gemma":[0.9998436,0.0000459463,0.00002703716,0.00002416075,0.00005171905,0.000007532771],"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":[0.0001008466,0.00007494872,0.0009162864,0.0005080319,0.00002435722,0.00007167511,0.00009134729,0.005184273,0.9160973,0.006401436,0.0009870124,0.0695425],"study_design_scores_gemma":[0.00001482655,0.0002278056,0.0009801155,0.00001404872,0.00003106266,0.0002854448,0.00002311712,0.0346434,0.9471794,0.0009034332,0.01568483,0.00001265607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2147371,0.003314513,0.7613838,0.0003796886,0.0003229214,0.0002737417,0.0003110734,0.002087977,0.01718917],"genre_scores_gemma":[0.5855643,0.001908551,0.4000328,0.0003541944,0.0001312897,0.0001589347,0.0001721719,0.00008202929,0.01159586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001496735,"threshold_uncertainty_score":0.005007088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005595671158306917,"score_gpt":0.1841634179058711,"score_spread":0.1785677467475642,"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."}}