{"id":"W2065486859","doi":"10.1116/1.1722219","title":"Noise performance of a current-mediated amplified pixel for large-area medical imaging","year":2004,"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":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noise (video); Pixel; Amplifier; Image noise; Image sensor; Materials science; Dark-frame subtraction; CMOS; Electronic engineering; Computer science; Optoelectronics; Artificial intelligence; Engineering; Image processing; Image (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":[0.0009726809,0.0002091798,0.0004296209,0.0008047029,0.0002026166,0.00004298598,0.0006546733,0.0001315328,0.00001972174],"category_scores_gemma":[0.0002154585,0.0001689095,0.0000929714,0.001188941,0.0006245776,0.0004731893,0.000105334,0.0005216881,0.000003091378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005459013,"about_ca_system_score_gemma":0.0002527027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001968709,"about_ca_topic_score_gemma":0.000002533726,"domain_scores_codex":[0.9980922,0.000007060978,0.0006062187,0.0002263623,0.0005071291,0.0005609983],"domain_scores_gemma":[0.9989806,0.00007140147,0.0002417698,0.0002132232,0.0003022591,0.0001907779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001985455,0.0005485685,0.09564874,0.0005872677,0.0001475944,0.00006376986,0.001793685,0.005480682,0.8654669,0.003325158,0.001127237,0.02561184],"study_design_scores_gemma":[0.0152637,0.001625718,0.03835284,0.003089753,0.0003235778,0.002969575,0.005480135,0.7010071,0.2036014,0.005840128,0.02037834,0.002067649],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872886,0.00394751,0.006834214,0.0009759486,0.0006456151,0.0001294464,0.00002603111,0.0001165669,0.00003609756],"genre_scores_gemma":[0.9959662,0.001342146,0.002595106,0.00003531466,0.00003002102,0.000004394618,0.000001499862,0.00001904859,0.000006244964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6955265,"threshold_uncertainty_score":0.6887928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00882099964699191,"score_gpt":0.2477039911471319,"score_spread":0.23888299150014,"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."}}