{"id":"W7061906390","doi":"","title":"Search for the X&lt;inf&gt;b&lt;/inf&gt; and other hidden-beauty states in the Ï&lt;sup&gt;+&lt;/sup&gt;Ï&lt;sup&gt;â&lt;/sup&gt;Ï(1S) channel at ATLAS","year":2015,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Advanced Power Generation Technologies","field":"Engineering","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; Israeli Centers for Research Excellence; Joint Institute for Nuclear Research; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Lundbeckfonden; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; 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; National Science Council; U.S. Department of Energy; National Natural Science Foundation of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministerstwo Edukacji i Nauki; CERN; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Deutsche Forschungsgemeinschaft; European Commission; Comisión Nacional de Investigación Científica y Tecnológica; Danmarks Grundforskningsfond; TRIUMF; Alexander von Humboldt-Stiftung; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; National Science Foundation; Türkiye Atom Enerjisi Kurumu","keywords":"Atlas (anatomy); Channel (broadcasting); Collision; Detector; Atlas detector; Range (aeronautics)","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001740409,0.002011762,0.001509335,0.00096731,0.0009041487,0.003240426,0.003307814,0.001211127,0.0004146891],"category_scores_gemma":[0.001325164,0.001560407,0.0006258285,0.002060056,0.0009909688,0.006845542,0.001711385,0.002130439,0.001981152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005766525,"about_ca_system_score_gemma":0.0003468244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001560115,"about_ca_topic_score_gemma":0.00016577,"domain_scores_codex":[0.990448,0.0004284149,0.002049555,0.001996408,0.002021449,0.003056152],"domain_scores_gemma":[0.9937937,0.001816543,0.0004303151,0.00268555,0.0003358698,0.0009380268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004809642,0.003070393,0.07293679,0.00300883,0.003677267,0.0009298975,0.01651332,0.2069624,0.03275448,0.0599358,0.5154936,0.07990757],"study_design_scores_gemma":[0.004274169,0.0006878651,0.001648396,0.0003581313,0.0001472235,0.0001393572,0.001061982,0.05184898,0.02805685,0.01659444,0.8922883,0.00289427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405748,0.0129633,0.006491339,0.005661657,0.0009510996,0.005186072,0.01030646,0.004689097,0.01317614],"genre_scores_gemma":[0.9846379,0.0009326423,0.003379201,0.001469501,0.0009278387,0.00107604,0.001781009,0.0009220481,0.004873849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3767947,"threshold_uncertainty_score":0.9992625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270618367694974,"score_gpt":0.2292714141367643,"score_spread":0.2065652304598146,"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."}}