{"id":"W2133268152","doi":"10.1109/tns.2008.2007485","title":"The Hardware and Signal Processing Architecture of LabPET™, a Small Animal APD-Based Digital PET Scanner","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer hardware; Computer science; Firmware; Digital signal processing; Scanner; Signal processing; Analog signal processing; Preamplifier; Field-programmable gate array; Multiplexing; Electronic engineering; CMOS; Engineering; Amplifier; Artificial intelligence","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":[0.000263075,0.0003660488,0.000384542,0.0004083246,0.0002849482,0.0006947145,0.001631468,0.0006314592,0.005911035],"category_scores_gemma":[0.0004297008,0.0003805847,0.0002362173,0.0004169847,0.0002743346,0.0005316855,0.0004897203,0.0004939736,0.003367659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004323726,"about_ca_system_score_gemma":0.0009361441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006597,"about_ca_topic_score_gemma":0.00098341,"domain_scores_codex":[0.9997119,0.00002475659,0.00001764549,0.00007011682,0.0001527278,0.00002274275],"domain_scores_gemma":[0.9998057,0.00003183285,0.00001675642,0.00003502285,0.00007621098,0.00003448497],"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":[0.0008394984,0.0001513698,0.002670738,0.0006591161,0.00008811369,0.0009504107,0.0001935406,0.01118465,0.6474293,0.01061852,0.01603141,0.3091833],"study_design_scores_gemma":[0.0003427017,0.003488149,0.01063683,0.0001977084,0.0003100753,0.008432595,0.0001157403,0.2087845,0.3599118,0.005066696,0.4024275,0.0002856411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03339773,0.0007943353,0.9355623,0.0008243085,0.0003412071,0.0009827228,0.0007947941,0.009177612,0.01812499],"genre_scores_gemma":[0.2385002,0.0008424692,0.7265626,0.001095064,0.0001433678,0.001035737,0.001382469,0.0002433955,0.03019467],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005911035,"threshold_uncertainty_score":0.01977432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380099309722507,"score_gpt":0.2649414716107234,"score_spread":0.2511404785134984,"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."}}