{"id":"W4413043110","doi":"10.1016/j.nima.2025.170917","title":"Radiation effects of CERN-PS 24 GeV/c protons in silicon strip sensors, evaluated with ATLAS18 ITk strip sensor test structures","year":2025,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Agencia Estatal de Investigación; European Regional Development Fund; HORIZON EUROPE Framework Programme; CERN; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Natural Sciences and Engineering Research Council of Canada; European Commission; U.S. Department of Energy","keywords":"Large Hadron Collider; Nuclear physics; Silicon; Radiation; Materials science; Physics; Optoelectronics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001108515,0.0003229739,0.0005062277,0.0006402543,0.0002938249,0.0001782034,0.0001498237,0.0001366747,0.00003907769],"category_scores_gemma":[0.0001328498,0.0002886289,0.00006165743,0.001706485,0.0001635123,0.0003059368,0.000141133,0.0007425011,8.381502e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004581448,"about_ca_system_score_gemma":0.0001233771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005502261,"about_ca_topic_score_gemma":0.00003155689,"domain_scores_codex":[0.9970813,0.0006806029,0.0005211062,0.000549784,0.0005031418,0.0006640208],"domain_scores_gemma":[0.9988186,0.0004843798,0.0002323072,0.0002039888,0.000127239,0.0001334406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003149488,0.0005655013,0.5707736,0.0002058535,0.0003075275,0.000003534762,0.001104372,0.00006455582,0.3131777,0.0003072091,0.00002599494,0.1131492],"study_design_scores_gemma":[0.005030169,0.0009634585,0.4919992,0.00035746,0.0000480992,8.73751e-7,0.0007702836,0.007261744,0.4906381,0.002345525,0.0001642845,0.0004207943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997786,0.00003929438,0.0001199257,0.00003408535,0.0002121634,0.001379953,0.00002101323,0.00003247828,0.0003751055],"genre_scores_gemma":[0.998199,0.00008201056,0.001430475,0.00001457917,0.00005976231,0.0001091633,0.00001805979,0.00003347474,0.00005340966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1774604,"threshold_uncertainty_score":0.9999566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731785722338985,"score_gpt":0.3583135693282904,"score_spread":0.3309957121049006,"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."}}