{"id":"W4389667498","doi":"10.1109/nssmicrtsd49126.2023.10337858","title":"Data Acquisition Methods for SiPM Characterization: Current Status of the VERA System at TRIUMF","year":2023,"lang":"en","type":"article","venue":"","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Silicon photomultiplier; Data acquisition; Photomultiplier; Instrumentation (computer programming); Software; Physics; Computer science; Nuclear engineering; Electrical engineering; Optics; Engineering; Detector; 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":[0.01253665,0.001394124,0.001937704,0.003671311,0.0016313,0.003329305,0.005513796,0.001512534,0.01074174],"category_scores_gemma":[0.01109884,0.001344719,0.0007857599,0.002911287,0.001166577,0.005851539,0.001870747,0.003353176,0.005492123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215155,"about_ca_system_score_gemma":0.001666127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009457218,"about_ca_topic_score_gemma":0.001343938,"domain_scores_codex":[0.9909251,0.001614207,0.0005610589,0.001482233,0.005115883,0.0003014806],"domain_scores_gemma":[0.9811086,0.00519165,0.001249681,0.005297243,0.006625732,0.0005270224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005842022,0.0002801955,0.005297802,0.001333911,0.0002418739,0.0001902435,0.0006614994,0.001013577,0.4262821,0.00658591,0.01683363,0.540695],"study_design_scores_gemma":[0.0001282215,0.001121944,0.01753967,0.0004648032,0.0001948608,0.003145796,0.0003721895,0.0487746,0.6708475,0.003788138,0.2531242,0.000497999],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03601985,0.008749745,0.9099737,0.001341125,0.0004320266,0.0005435154,0.002844542,0.03476388,0.005331678],"genre_scores_gemma":[0.1033835,0.004263949,0.8720976,0.0009178608,0.0005042023,0.00142517,0.006812397,0.006026635,0.004568669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01253665,"threshold_uncertainty_score":0.06630093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1130167641206131,"score_gpt":0.3675252814400771,"score_spread":0.254508517319464,"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."}}