{"id":"W2154066559","doi":"10.1109/tns.2005.851432","title":"CT acquisition using PET detectors and electronics","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Institute for Materials Science","keywords":"Imaging phantom; Detector; Scintillator; Positron emission tomography; Photon counting; Image resolution; Silicon photomultiplier; Avalanche photodiode; Tomography; Physics; Nuclear medicine; Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001760816,0.00006988196,0.00008060616,0.0001262394,0.0003383254,0.00003592673,0.00008777029,0.00001361474,0.0001456604],"category_scores_gemma":[0.000005033563,0.00006278903,0.00003043215,0.0003758094,0.0003412422,0.0001589363,0.000001395641,0.000187877,0.00002847801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226123,"about_ca_system_score_gemma":0.00007796819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001127773,"about_ca_topic_score_gemma":0.000002819796,"domain_scores_codex":[0.9992257,0.000007127987,0.0001028729,0.000225114,0.0002398765,0.0001993622],"domain_scores_gemma":[0.9995613,0.00001463006,0.00002350399,0.0001985264,0.0000410773,0.0001609707],"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":[0.00004406419,0.0003654408,0.00002309899,0.00002487492,0.00001238594,0.00001418012,0.0001860706,0.001094016,0.8576527,0.0005758361,0.0003411371,0.1396661],"study_design_scores_gemma":[0.0005727206,0.0003361719,0.0004472848,0.0001047236,0.00009100481,0.001232542,0.00006975657,0.8195248,0.1602175,0.00009435586,0.01707427,0.0002348316],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425827,0.00001310667,0.05439037,0.002478524,0.00003758114,0.0001497513,0.000002891299,0.0001606945,0.0001844021],"genre_scores_gemma":[0.9560801,0.0000717344,0.04291959,0.0008285209,0.00002800021,0.00000466262,7.561658e-8,0.00001084575,0.00005649096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8184308,"threshold_uncertainty_score":0.260216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712122354518724,"score_gpt":0.3004944748972209,"score_spread":0.2833732513520336,"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."}}