{"id":"W4321613022","doi":"10.1088/1748-0221/18/02/c02044","title":"Irradiation testing of ASICs for the HL-LHC ATLAS ITk Strip Detector","year":2023,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; CERN; TRIUMF; Université Catholique de Louvain","keywords":"Large Hadron Collider; Atlas (anatomy); Upgrade; Application-specific integrated circuit; Detector; STRIPS; Radiation hardening; Physics; Radiation; Irradiation; Radiation tolerance; Optoelectronics; Computer science; Nuclear physics; Computer hardware; Optics; Radiation therapy; Medicine; Operating system; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002997297,0.00005452035,0.00008645882,0.00006669114,0.00009365813,0.00002479634,0.00008259962,0.00001363046,0.00002022608],"category_scores_gemma":[0.00004300039,0.0000398136,0.0000559099,0.0002810566,0.00001380422,0.0002330153,0.000008915605,0.00006280172,0.000004932537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002333473,"about_ca_system_score_gemma":0.00006664703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001178989,"about_ca_topic_score_gemma":0.000001309889,"domain_scores_codex":[0.9993643,0.00001419116,0.0003226499,0.00004273186,0.0001553554,0.000100767],"domain_scores_gemma":[0.9991082,0.0002587986,0.0004311976,0.00004692794,0.0001313194,0.00002358818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008004242,0.00002710701,0.6680845,0.00002684819,0.00009370155,2.589003e-7,0.0008143258,0.001438681,0.05991986,0.0003113886,0.0004498064,0.2687535],"study_design_scores_gemma":[0.001233263,0.0001926857,0.7355409,0.00004610466,0.00005106676,0.000001671138,0.0008949317,0.0276402,0.2326478,0.001060596,0.0006044859,0.00008635759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961988,0.000009218053,0.003151621,0.000095866,0.0003287249,0.0001174711,0.00001503189,0.000005667493,0.00007765523],"genre_scores_gemma":[0.9984437,0.000002886781,0.001235266,0.000008860968,0.0002613118,0.000005696515,0.000009472485,0.000005983316,0.00002681301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2686671,"threshold_uncertainty_score":0.1623552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03978050306397775,"score_gpt":0.2863406682502697,"score_spread":0.246560165186292,"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."}}