{"id":"W7011718612","doi":"","title":"A neural network clustering algorithm for the ATLAS silicon pixel detector","year":2014,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; H. Lundbeck A/S; State Atomic Energy Corporation ROSATOM; Centre National pour la Recherche Scientifique et Technique; Georgian National Science Foundation; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Israel Science Foundation; Lundbeckfonden; Leverhulme Trust; General Secretariat for Research and Technology; Ministry of Education, Culture, Sports, Science and Technology; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Austrian Science Fund; Bundesministerium für Bildung und Forschung; Israeli Centers for Research Excellence; Joint Institute for Nuclear Research; National Science Council; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; U.S. Department of Energy; National Natural Science Foundation of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; Bundesministerium für Wissenschaft und Forschung; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministerstwo Edukacji i Nauki; CERN; Deutsche Forschungsgemeinschaft; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; European Commission; Comisión Nacional de Investigación Científica y Tecnológica; Danmarks Grundforskningsfond; TRIUMF; Alexander von Humboldt-Stiftung; Türkiye Atom Enerjisi Kurumu; National Science Foundation","keywords":"Detector; Pixel; Artificial neural network; Monte Carlo method; Cluster analysis; Data set; Large Hadron Collider; Position (finance); Atlas (anatomy)","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":[0.0001759343,0.0002272596,0.0002253566,0.00006369744,0.0003200372,0.00008610076,0.0004057127,0.0000475875,0.0003594187],"category_scores_gemma":[0.000002502173,0.0001882473,0.0001351443,0.0002394431,0.00005653838,0.0002347568,0.0002240262,0.0001771135,0.0002460946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002952623,"about_ca_system_score_gemma":0.00001750506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002417311,"about_ca_topic_score_gemma":0.00003589911,"domain_scores_codex":[0.9987584,0.00005816415,0.0001786762,0.0003407833,0.0001254867,0.0005385099],"domain_scores_gemma":[0.999185,0.0001731877,0.0001077522,0.0003727485,0.0000521898,0.0001091227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002355184,0.00006230547,0.3736768,0.00003742924,0.0002687874,0.000005482501,0.0006652027,0.0001615841,0.001328951,0.0006906638,0.0005026949,0.6223646],"study_design_scores_gemma":[0.002260221,0.00009319299,0.2886576,0.00004395497,0.00007839055,0.000005301893,0.0002410697,0.4736857,0.001733083,0.000115826,0.2325809,0.0005047264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7268469,0.000013055,0.2665157,0.0001006887,0.0005729229,0.0003799022,0.00001804335,0.00004957894,0.00550321],"genre_scores_gemma":[0.9913616,0.000001342307,0.002509868,0.0001169158,0.001021747,0.000009990512,0.00001198684,0.00002602768,0.004940545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6218598,"threshold_uncertainty_score":0.7676501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490973555144608,"score_gpt":0.206510917238209,"score_spread":0.1916011816867629,"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."}}