{"id":"W4385192370","doi":"10.23919/vlsitechnologyandcir57934.2023.10185340","title":"A Monolithic Amorphous-Selenium/CMOS Small-Pixel-Effect-Enhanced X-Ray-Energy-Discriminating Quantum-Counting Pixel for Biomedical Imaging","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pixel; CMOS; Physics; Quantum efficiency; Offset (computer science); X-ray detector; Detector; Image resolution; Image sensor; Optoelectronics; Computer science; Materials science; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007870334,0.0005929506,0.0005987633,0.000481649,0.0004578951,0.0001770843,0.0004635532,0.0001680133,0.00005758736],"category_scores_gemma":[0.0003597727,0.0005777871,0.0002633912,0.001032904,0.0001284719,0.0005258835,0.0001628185,0.0004962939,0.0001127307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676557,"about_ca_system_score_gemma":0.00004688961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006281616,"about_ca_topic_score_gemma":0.00002164691,"domain_scores_codex":[0.9966343,0.0000600254,0.0007425494,0.0006937112,0.0004123682,0.001457052],"domain_scores_gemma":[0.9982695,0.0007636082,0.0001201515,0.0004591854,0.0001218689,0.0002656683],"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":[0.00005669677,0.0000630364,0.0002435746,0.0009701633,0.0001472796,0.00003244248,0.001334573,0.01931497,0.8491376,0.004167234,0.001796854,0.1227356],"study_design_scores_gemma":[0.001443685,0.00008383422,0.0001689098,0.0003026483,0.00008281275,0.00002174171,0.00188896,0.9372848,0.04791164,0.002633817,0.007242432,0.0009347201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2250139,0.0003328124,0.7667403,0.0001729725,0.000994047,0.0004409994,0.0000189025,0.003618912,0.002667221],"genre_scores_gemma":[0.9876105,0.00008256649,0.01031566,0.000211105,0.0005370205,0.0004286102,0.0001085195,0.0002470382,0.0004590337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9179698,"threshold_uncertainty_score":0.9996673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176828758100526,"score_gpt":0.2406902162186608,"score_spread":0.2289219286376555,"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."}}