{"id":"W4417251900","doi":"10.1109/trpms.2025.3643324","title":"Design and Evaluation of a 2.5D-Assembled High-Density Detection Module for the Ultra-High Resolution Brain PET Scanner","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Q & T Research; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"MEDTEQ+; Natural Sciences and Engineering Research Council of Canada; BRAIN Initiative","keywords":"Modular design; Application-specific integrated circuit; Noise (video); Scanner; Integrated circuit; Image resolution; Parasitic capacitance; Capacitance","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":[0.0005280383,0.0006263798,0.0004228325,0.0003463178,0.0001710469,0.0006172666,0.001447896,0.0005952935,0.001514446],"category_scores_gemma":[0.0007982388,0.0003318337,0.0003681252,0.0002382394,0.0002324715,0.0005154659,0.000348346,0.0002808799,0.0007538254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006886842,"about_ca_system_score_gemma":0.0007624541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004633532,"about_ca_topic_score_gemma":0.0005682381,"domain_scores_codex":[0.9995583,0.00007391691,0.00001716748,0.00008538494,0.0002057853,0.00005947383],"domain_scores_gemma":[0.999593,0.00004456404,0.0001120267,0.00005466128,0.0001472135,0.000048667],"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":[0.0001807212,0.0001431129,0.002202141,0.0006198295,0.00009749692,0.0007266048,0.0001926534,0.01201102,0.9539459,0.001747713,0.002410411,0.02572252],"study_design_scores_gemma":[0.0001225805,0.004347352,0.009958916,0.00005447102,0.0001653478,0.001417237,0.0001019994,0.07270528,0.8782895,0.0001935432,0.03255832,0.00008544751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7606496,0.001607073,0.223063,0.0005644196,0.0003541813,0.0009438702,0.001058708,0.002967038,0.008792072],"genre_scores_gemma":[0.8474409,0.0005189714,0.1421043,0.0002462016,0.00005386199,0.0004406777,0.0006626294,0.0002669892,0.008265461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001514446,"threshold_uncertainty_score":0.005066276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04793615150593006,"score_gpt":0.3349226174228511,"score_spread":0.2869864659169211,"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."}}