{"id":"W2118201869","doi":"10.1109/23.958766","title":"DAQ system for LEPS experiment","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Data acquisition; VMEbus; Computer hardware; Nuclear electronics; Ethernet; Modularity (biology); Scalability; Computer Automated Measurement and Control; Computer science; Physics; Electrical engineering; Engineering; 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":[0.002728786,0.001244702,0.001554955,0.002620322,0.001939903,0.001903915,0.0026528,0.001171378,0.1247056],"category_scores_gemma":[0.002412503,0.0006348481,0.0003857877,0.002707045,0.0005055958,0.001849058,0.001846568,0.001906474,0.07122354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137414,"about_ca_system_score_gemma":0.001392083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051693,"about_ca_topic_score_gemma":0.0006747253,"domain_scores_codex":[0.9976063,0.0004186833,0.0001771524,0.0005991428,0.000938636,0.0002599614],"domain_scores_gemma":[0.9976391,0.0001895347,0.0001124145,0.0004116966,0.001478206,0.000169217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002962748,0.0004060909,0.007814975,0.001336531,0.0002073128,0.0007423747,0.0008285636,0.001941688,0.1535483,0.02473347,0.5902222,0.2152558],"study_design_scores_gemma":[0.0006493983,0.0005490867,0.005227097,0.0001019219,0.00008754821,0.001087051,0.000159738,0.01803379,0.07030863,0.004605049,0.8989831,0.0002076156],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04513209,0.003058134,0.5097119,0.00235657,0.001933023,0.004979452,0.04191995,0.2597152,0.1311938],"genre_scores_gemma":[0.2832722,0.001968845,0.3845969,0.004458449,0.001773497,0.01128453,0.1031624,0.01576321,0.1937199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1247056,"threshold_uncertainty_score":0.4171819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051716734705765,"score_gpt":0.2590089116964318,"score_spread":0.2384917443493741,"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."}}