{"id":"W2120243169","doi":"10.1140/epjc/s2003-01441-8","title":"b-tagging in DELPHI at LEP","year":2004,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Bundesministerium für Bildung, Wissenschaft und Kultur; Norges Forskningsråd; Ministerstvo Průmyslu a Obchodu; Junta Nacional de Investigação Científica e Tecnológica; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; General Secretariat for Research and Technology; Fonds Wetenschappelijk Onderzoek; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; CERN; Vlaamse regering; Financiadora de Estudos e Projetos; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Fonds De La Recherche Scientifique - FNRS; U.S. Department of Energy; National Science Foundation","keywords":"Delphi; Computer science; Programming language","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004242951,0.001230804,0.001576211,0.001704839,0.003399175,0.004774087,0.001127281,0.00209761,0.009966138],"category_scores_gemma":[0.003707351,0.001304871,0.0008553202,0.001531419,0.001836961,0.004466308,0.003652251,0.001527395,0.002148308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877309,"about_ca_system_score_gemma":0.001238355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004868461,"about_ca_topic_score_gemma":0.005856461,"domain_scores_codex":[0.9979887,0.0005934678,0.00006459716,0.0003271186,0.0003322754,0.0006937819],"domain_scores_gemma":[0.9983971,0.000772338,0.0001869395,0.0002574446,0.0001566752,0.0002296079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01082392,0.0005350721,0.01788961,0.001262804,0.0003130978,0.003449394,0.00294622,0.04027905,0.04171741,0.7991239,0.01554154,0.06611788],"study_design_scores_gemma":[0.002031787,0.000983485,0.01395208,0.0007210618,0.0003878213,0.002387091,0.001768487,0.2686714,0.09300876,0.5926428,0.02263846,0.0008066677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7394954,0.00247059,0.06189723,0.003293357,0.0004539322,0.0001867768,0.001850513,0.00279507,0.1875571],"genre_scores_gemma":[0.9850665,0.0001847209,0.005421579,0.0003655549,0.00004359719,0.00005486936,0.0002800795,0.0001204473,0.008462675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009966138,"threshold_uncertainty_score":0.03334004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513820911196609,"score_gpt":0.2627066026977954,"score_spread":0.2475683935858294,"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."}}