{"id":"W2062404935","doi":"10.1049/iet-cds:20060217","title":"High dynamic range 2-TFT amplified pixel sensor architecture for digital mammography tomosynthesis","year":2007,"lang":"en","type":"article","venue":"IET Circuits Devices & Systems","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pixel; Dynamic range; Thin-film transistor; Tomosynthesis; Computer science; Amplifier; Image sensor; Active matrix; Transistor; Dot pitch; Mammography; Digital mammography; Wide dynamic range; Electronic engineering; Materials science; CMOS; Optoelectronics; Artificial intelligence; Electrical engineering; Computer vision; Engineering; Medicine","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":[0.0001359484,0.000214544,0.0001292821,0.0001487443,0.0001246768,0.0003244783,0.0005936038,0.0003349788,0.001745895],"category_scores_gemma":[0.0002726239,0.0001248769,0.0001368526,0.0001295473,0.00012075,0.0004347229,0.0001213177,0.0001846886,0.0003616728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003454521,"about_ca_system_score_gemma":0.0002146459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005392455,"about_ca_topic_score_gemma":0.001255285,"domain_scores_codex":[0.9998916,0.00001750668,0.000005168108,0.00002383932,0.00004947226,0.00001241876],"domain_scores_gemma":[0.9998702,0.00004136908,0.00002599632,0.00001224393,0.00004115238,0.00000906754],"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":[0.0001275995,0.00003359538,0.0005317027,0.00008294298,0.00002083052,0.0001138051,0.00004583042,0.002304601,0.9627852,0.001486719,0.0006931586,0.03177404],"study_design_scores_gemma":[0.00005075603,0.001084487,0.003731984,0.00001651595,0.00009074899,0.001632033,0.00004333971,0.1294835,0.8485441,0.0009082194,0.01437812,0.00003613834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6354455,0.001823572,0.346329,0.0005113551,0.0001867104,0.0001396893,0.0002374548,0.002156856,0.01316975],"genre_scores_gemma":[0.8937873,0.0003627795,0.1008438,0.0001281007,0.00007265731,0.00003746625,0.0001080119,0.00003168114,0.004628142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745895,"threshold_uncertainty_score":0.005840659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007486304831940838,"score_gpt":0.2079076193443349,"score_spread":0.2004213145123941,"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."}}