{"id":"W3168945205","doi":"10.1088/1748-0221/16/06/p06012","title":"Magnetic triggering — time-resolved characterisation of silicon strip modules in the presence of switching DC-DC converters","year":2021,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF; Simon Fraser University; Institute of Particle Physics","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Office of Science; High Energy Physics; U.S. Department of Energy; Diamond Light Source; Alexander von Humboldt-Stiftung","keywords":"EMI; Electrical engineering; Noise (video); DC bias; Electromagnetic interference; Shielded cable; Electromagnetic shielding; Converters; Materials science; STRIPS; Computer science; Engineering; Voltage","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596762,0.00005605445,0.0001346736,0.00006425774,0.00002332122,0.0000196929,0.00008654038,0.00001379173,0.00009183922],"category_scores_gemma":[0.00001060345,0.00004462,0.00004677956,0.0001425742,0.00001414523,0.000335608,0.00001057806,0.00008477512,0.000001379782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001692768,"about_ca_system_score_gemma":0.00005126933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000237602,"about_ca_topic_score_gemma":0.000001947092,"domain_scores_codex":[0.9991841,0.00006428218,0.0004380176,0.00005121958,0.000186634,0.0000757867],"domain_scores_gemma":[0.9993736,0.00005640583,0.0004129243,0.00006340114,0.00007786226,0.00001587009],"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":[0.00006468472,0.00006651798,0.1218484,0.00002389244,0.0000234521,0.00000112793,0.002967274,0.0001795725,0.743636,0.000045006,0.000006140559,0.131138],"study_design_scores_gemma":[0.0009005268,0.00008287184,0.4066785,0.0001096752,0.00001598127,0.000003181307,0.001557135,0.01069659,0.5797373,0.0001522396,0.0000158358,0.00005011664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990533,0.00002730524,0.0005852369,0.00006965364,0.000092075,0.00006660145,0.000003071091,0.00000103846,0.0001017374],"genre_scores_gemma":[0.9996826,0.00001280586,0.0002321415,0.00001033259,0.00004203783,0.000001553328,0.00000700524,0.000003062663,0.00000845806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2848301,"threshold_uncertainty_score":0.1819551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208044567377407,"score_gpt":0.2374147297101378,"score_spread":0.2253342840363638,"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."}}