{"id":"W2078604201","doi":"10.1116/1.2183298","title":"High dynamic range pixel architecture for advanced diagnostic medical x-ray imaging applications","year":2006,"lang":"en","type":"article","venue":"Journal of Vacuum Science & Technology A Vacuum Surfaces and Films","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pixel; Dynamic range; Linearity; Noise (video); Wide dynamic range; Dot pitch; Amplifier; High dynamic range; Image resolution; Photodiode; Transistor; Physics; Computer science; CMOS; Electronic engineering; Optics; Optoelectronics; Voltage; Artificial intelligence; Engineering","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":[0.0002119056,0.0002421862,0.0001455441,0.0002097168,0.0001651796,0.0004718447,0.0007937979,0.0004829464,0.002267794],"category_scores_gemma":[0.000326974,0.0001850628,0.0002217612,0.0001965326,0.0001449305,0.0005597661,0.0002842696,0.0003798201,0.0007690525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002676274,"about_ca_system_score_gemma":0.0001662368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002196246,"about_ca_topic_score_gemma":0.0005832918,"domain_scores_codex":[0.9998251,0.00002128113,0.000009158241,0.00004267945,0.00009088917,0.00001084523],"domain_scores_gemma":[0.9998418,0.00004824927,0.00002196649,0.0000151649,0.00006072709,0.00001214506],"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":[0.000128842,0.00005189927,0.0007009163,0.0001630036,0.00004144896,0.0001485729,0.00006228091,0.003737762,0.9386479,0.004766007,0.0008420168,0.05070943],"study_design_scores_gemma":[0.00004726297,0.001054239,0.00358091,0.0000276979,0.0001610582,0.002941677,0.00003802441,0.1214883,0.8364243,0.002282002,0.03190213,0.00005248244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2573412,0.004240855,0.7171717,0.000535395,0.000154568,0.0002030995,0.000199443,0.002249553,0.01790426],"genre_scores_gemma":[0.6346476,0.00102354,0.353764,0.0003575853,0.0001053574,0.0001043517,0.0002188685,0.00008131273,0.009697447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002267794,"threshold_uncertainty_score":0.007586598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001872351697459272,"score_gpt":0.2132413230973819,"score_spread":0.2113689713999226,"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."}}