{"id":"W4246728052","doi":"10.1109/rtc.2012.6418200","title":"Design of a real-time FPGA-based DAQ architecture for the LabPET II, an APD-based scanner dedicated to small animal PET imaging","year":2012,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Data acquisition; Field-programmable gate array; Computer hardware; Application-specific integrated circuit; Computer science; Scanner; Block (permutation group theory); Real-time computing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003121456,0.0007119603,0.0004196657,0.0005489415,0.0002566529,0.0008646342,0.001405347,0.00036803,0.006170284],"category_scores_gemma":[0.0003285927,0.0003079752,0.0001647211,0.0003258652,0.0002330978,0.0003639693,0.0002124905,0.0004221665,0.002733519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008181768,"about_ca_system_score_gemma":0.0009175364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001811894,"about_ca_topic_score_gemma":0.00156469,"domain_scores_codex":[0.9997309,0.00003499492,0.00001803645,0.00008092113,0.00008112204,0.00005397372],"domain_scores_gemma":[0.9997846,0.00003217864,0.00002643905,0.00002465289,0.0001024104,0.000029665],"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":[0.001643455,0.0004113698,0.006540907,0.001608664,0.0002790161,0.001225741,0.0004555914,0.04919438,0.4475894,0.01687235,0.03666271,0.4375164],"study_design_scores_gemma":[0.000934499,0.004194541,0.01299656,0.0003463131,0.000316422,0.00347495,0.0001899192,0.4097477,0.3525898,0.002464615,0.2124992,0.0002453804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0964477,0.001610721,0.8594084,0.000424783,0.0004482898,0.00233304,0.001080957,0.01517002,0.02307616],"genre_scores_gemma":[0.6308929,0.000549885,0.3506652,0.0006852677,0.000118636,0.001246676,0.001068676,0.0003426052,0.01443013],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006170284,"threshold_uncertainty_score":0.02064162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03759811850692912,"score_gpt":0.3188533138840391,"score_spread":0.28125519537711,"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."}}