{"id":"W7065086180","doi":"","title":"Defect level identification of ATLAS ITk Strip Sensors using DLTS","year":2024,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Agencia Estatal de Investigación; Ministry of Education, Culture, Sports, Science and Technology; CERN; U.S. Department of Energy","keywords":"Deep-level transient spectroscopy; Diode; Leakage (economics); Trap (plumbing); Penning trap; Thermal","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002337294,0.0002267677,0.000254735,0.0005326744,0.0001570806,0.0004674851,0.0004615152,0.0003434815,0.002293921],"category_scores_gemma":[0.0003943611,0.000141575,0.0001904665,0.0004555373,0.0002419997,0.0002757059,0.0002793183,0.0001968583,0.0003860656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004276443,"about_ca_system_score_gemma":0.000144381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051282,"about_ca_topic_score_gemma":0.001299491,"domain_scores_codex":[0.9998081,0.00001963286,0.000009084357,0.00005979266,0.00007488766,0.00002855306],"domain_scores_gemma":[0.9995705,0.00009599728,0.0000895582,0.00009198388,0.0001259248,0.00002588181],"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":[0.0005926666,0.00004214421,0.01647883,0.0001570093,0.00003290603,0.0001810407,0.0002968858,0.006236276,0.9655173,0.0004525713,0.0004043478,0.009608041],"study_design_scores_gemma":[0.00001351065,0.0004729719,0.02878127,0.000008889921,0.00003135663,0.0002711884,0.0001863854,0.02047201,0.9479466,0.0001384451,0.001650353,0.00002702982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893355,0.0001753327,0.007871253,0.00002334623,0.000009642203,0.00001783685,0.0008548663,0.0003141179,0.001398185],"genre_scores_gemma":[0.9959086,0.00004570515,0.002909058,0.00001420466,0.000001461335,0.00001170558,0.0003090615,0.00004000295,0.0007602437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002293921,"threshold_uncertainty_score":0.007673919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899563999223547,"score_gpt":0.2946980485476498,"score_spread":0.2457024085554143,"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."}}