{"id":"W3088863585","doi":"10.1016/j.nima.2020.164677","title":"Initial tests of large format sensors for the ATLAS ITk strip tracker","year":2020,"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":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Japan Society for the Promotion of Science; Ministerstvo Školství, Mládeže a Tělovýchovy; CERN; Canada Foundation for Innovation; U.S. Department of Energy","keywords":"Detector; Upgrade; Computer science; Metrology; Large Hadron Collider; Leakage (economics); Computer hardware; Real-time computing; Electrical engineering; Optics; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003657151,0.00104372,0.0008517785,0.0005424985,0.0009537688,0.001674952,0.002143526,0.002265461,0.007753336],"category_scores_gemma":[0.005129094,0.0005759894,0.0007011406,0.0009454245,0.0007314556,0.002431931,0.001529606,0.0009361285,0.002399431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277767,"about_ca_system_score_gemma":0.0009300431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002500681,"about_ca_topic_score_gemma":0.003023452,"domain_scores_codex":[0.9972402,0.0003067951,0.0001265645,0.0006733382,0.001333723,0.0003192949],"domain_scores_gemma":[0.9951854,0.001415194,0.0003025755,0.0006477711,0.002081711,0.0003673461],"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":[0.01119587,0.002258429,0.04823675,0.00101465,0.0004475497,0.001389495,0.001532179,0.01880229,0.792038,0.004596457,0.01194374,0.1065446],"study_design_scores_gemma":[0.0007216446,0.01452883,0.05297659,0.00006953752,0.0002976787,0.001036792,0.0009001746,0.04668529,0.8496783,0.001284904,0.03163736,0.0001828347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.900323,0.000809793,0.0789679,0.0008644319,0.0007279603,0.001190609,0.003951896,0.004376945,0.008787505],"genre_scores_gemma":[0.9357515,0.0001710226,0.05129492,0.0005946945,0.00006833931,0.0002675998,0.002107797,0.0002356628,0.009508464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007753336,"threshold_uncertainty_score":0.0259375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07940388092057453,"score_gpt":0.4020330925583909,"score_spread":0.3226292116378164,"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."}}