{"id":"W2092342629","doi":"10.1117/12.710147","title":"Amplified pixel sensor architectures for low dose computed tomography using silicon thin film technology","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pixel; Frame rate; Image resolution; Detector; Linearity; Cone beam computed tomography; Image sensor; Computer science; Flat panel detector; Optics; Dot pitch; Noise (video); Frame (networking); Dynamic range; Computed tomography; Artificial intelligence; Physics; Computer vision; Telecommunications; Image (mathematics)","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":[0.0003150924,0.0003179456,0.0001734479,0.0002039134,0.00009911388,0.0004844486,0.0007593398,0.0003912083,0.00122733],"category_scores_gemma":[0.0005606782,0.0001934565,0.0001647816,0.0002224323,0.0002000079,0.0007164577,0.0002399279,0.0003376755,0.000493549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003729725,"about_ca_system_score_gemma":0.000209053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003892824,"about_ca_topic_score_gemma":0.0007585952,"domain_scores_codex":[0.9997829,0.00002922375,0.00001370177,0.00003883688,0.0001195326,0.00001589723],"domain_scores_gemma":[0.9995918,0.0001303839,0.00007168272,0.00003034728,0.0001572109,0.00001857214],"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":[0.00009267023,0.0000331592,0.0004816491,0.0001752929,0.0000212669,0.0001387366,0.00005856243,0.001947355,0.9584984,0.002582354,0.0006193303,0.0353513],"study_design_scores_gemma":[0.00002542695,0.0007274788,0.001713873,0.00001835512,0.00006417857,0.0006630485,0.00004276796,0.05070758,0.9312245,0.0008037303,0.01397741,0.00003159333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5226346,0.00692038,0.4518837,0.0008627126,0.0004049006,0.0002567331,0.0002687001,0.001850563,0.01491774],"genre_scores_gemma":[0.7770802,0.002095606,0.2121711,0.0002219089,0.0001192736,0.00006954463,0.0001494974,0.00004192044,0.008050871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00122733,"threshold_uncertainty_score":0.004105806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535303205615101,"score_gpt":0.2739299917558338,"score_spread":0.2585769596996828,"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."}}