{"id":"W2149190554","doi":"10.1109/nssmic.1990.693349","title":"DSP Coprocessor For Event Filtering In A Data Acquisition System","year":2005,"lang":"en","type":"article","venue":"1990 IEEE Nuclear Science Symposium Conference Record","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Coprocessor; Computer science; Digital signal processing; Embedded system; Event (particle physics); Data acquisition; Computer architecture; Computer hardware; Operating system","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":[0.0003263941,0.0006259654,0.0004407105,0.001060446,0.0006202789,0.000830549,0.0007568309,0.0004321161,0.01368849],"category_scores_gemma":[0.001308966,0.0002965587,0.0001940951,0.0007748093,0.0001699941,0.0004945844,0.0002749659,0.0006806689,0.003503037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003257062,"about_ca_system_score_gemma":0.000653595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009569205,"about_ca_topic_score_gemma":0.002059834,"domain_scores_codex":[0.9997538,0.00003538555,0.00002168235,0.00005761181,0.0001007554,0.00003081713],"domain_scores_gemma":[0.9993316,0.0002231151,0.00004160354,0.00009029774,0.0002623781,0.00005117992],"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":[0.002552377,0.0003993649,0.002161947,0.0004730843,0.00009282681,0.0007164668,0.0002500804,0.003692632,0.5079409,0.007769245,0.01497915,0.458972],"study_design_scores_gemma":[0.0003823166,0.00224007,0.009631115,0.0001853434,0.0003060416,0.00267447,0.0001090268,0.2179006,0.6875186,0.002961595,0.07600615,0.00008466838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1051435,0.001004383,0.8707518,0.0003459451,0.000409956,0.0003097088,0.0003668553,0.008146219,0.01352163],"genre_scores_gemma":[0.6576212,0.000816721,0.2995842,0.0007676288,0.0004752968,0.0002764309,0.000909827,0.0007231628,0.03882553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01368849,"threshold_uncertainty_score":0.04579264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113711968003715,"score_gpt":0.2885938336351592,"score_spread":0.257456713955122,"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."}}