{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000563862,0.0007421757,0.0005983547,0.0008158727,0.0003116674,0.000884091,0.0008190759,0.0008068818,0.01570981],"category_scores_gemma":[0.001988734,0.0006569351,0.0003340938,0.0009991451,0.0002877632,0.0005980363,0.0007013157,0.0007715388,0.003610876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003331558,"about_ca_system_score_gemma":0.0006895149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008296999,"about_ca_topic_score_gemma":0.0007393848,"domain_scores_codex":[0.999698,0.0000582526,0.00004585666,0.00008956415,0.00008286165,0.00002541065],"domain_scores_gemma":[0.9992355,0.0002995158,0.00004718892,0.0001285952,0.0002480924,0.00004111093],"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":[0.001179733,0.0001537945,0.007533592,0.0008384199,0.0001310442,0.001991743,0.000147796,0.004611041,0.7699276,0.004228471,0.008057602,0.2011992],"study_design_scores_gemma":[0.0004046196,0.001388452,0.01705509,0.0003016404,0.0005162204,0.01514213,0.0001471034,0.04385244,0.7849687,0.003600323,0.1324701,0.0001531152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09423203,0.002257823,0.85527,0.0009871693,0.0003650399,0.001621906,0.004390159,0.005900577,0.03497527],"genre_scores_gemma":[0.2837614,0.003011276,0.6898687,0.001251925,0.0001836449,0.001683766,0.003424091,0.0009126161,0.01590258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01570981,"threshold_uncertainty_score":0.05255455,"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."}}