{"id":"W3043127268","doi":"10.1016/j.nima.2020.164402","title":"Strip sensor performance in prototype modules built for ATLAS ITk","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":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"European Regional Development Fund; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación; Canada Foundation for Innovation; Ministerio de Ciencia, Innovación y Universidades; U.S. Department of Energy","keywords":"Atlas (anatomy); Computer science; Engineering; Medicine; Anatomy","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":[0.001137269,0.0002688063,0.0003939871,0.0002382374,0.0003250692,0.000210317,0.0001592162,0.0001000608,0.00006127818],"category_scores_gemma":[0.00005352723,0.0002614061,0.00006611648,0.0009242343,0.0001008776,0.0003844491,0.0001597347,0.0006240059,0.000003308599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002210266,"about_ca_system_score_gemma":0.00005606882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001022131,"about_ca_topic_score_gemma":0.000009902552,"domain_scores_codex":[0.9976061,0.0003147141,0.000431381,0.0005523997,0.0003543271,0.0007410774],"domain_scores_gemma":[0.9993116,0.0001325531,0.0001270037,0.0001269889,0.00008518565,0.0002166797],"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":[0.000695094,0.0003954068,0.3260508,0.0001666867,0.0002184997,0.00000196985,0.003629539,0.00006227656,0.2075821,0.0003793668,0.00004463328,0.4607736],"study_design_scores_gemma":[0.0128041,0.005072681,0.3891841,0.0004280371,0.00005737282,0.000002047893,0.003379499,0.1561503,0.4175271,0.005496107,0.008019784,0.001878957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976162,0.00002223237,0.0004434322,0.0001073629,0.000144444,0.001147851,0.00002104144,0.00003532972,0.0004620576],"genre_scores_gemma":[0.9905195,0.0001091964,0.008859,0.00004836797,0.0001820645,0.0002077728,0.00001260961,0.00004111746,0.00002033464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4588947,"threshold_uncertainty_score":0.9999838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0813550482033153,"score_gpt":0.3757897703423592,"score_spread":0.2944347221390439,"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."}}