{"id":"W7061890611","doi":"","title":"Review Studies for the ATLAS Open Data Dataset","year":2016,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; Fundação para a Ciência e a Tecnologia; Agencia Nacional de Promoción Científica y Tecnológica; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Science and Technology Facilities Council; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; Fondation Partager le Savoir; European Social Fund; Centre National pour la Recherche Scientifique et Technique; Georgian National Science Foundation; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; British Columbia Knowledge Development Fund; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Israel Science Foundation; U.S. Department of Energy; Israeli Centers for Research Excellence; Comisión Nacional de Investigación Científica y Tecnológica; Türkiye Atom Enerjisi Kurumu; Joint Institute for Nuclear Research; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Fonds Québécois de la Recherche sur la Nature et les Technologies; Austrian Science Fund; Ontario Innovation Trust; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; General Secretariat for Research and Technology; National Science Foundation; Compute Canada; Alexander von Humboldt-Stiftung; TRIUMF; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); CERN; Danmarks Grundforskningsfond; Canarie","keywords":"Atlas (anatomy); Monte Carlo method; Statistic; Selection (genetic algorithm); Open source","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01355269,0.001102971,0.002175706,0.02323757,0.001076378,0.004243356,0.002675209,0.002002398,0.1263398],"category_scores_gemma":[0.09887969,0.0007708619,0.00384664,0.03025446,0.0006170795,0.002668029,0.003561786,0.001539901,0.03854404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00342238,"about_ca_system_score_gemma":0.01159748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166233,"about_ca_topic_score_gemma":0.02568162,"domain_scores_codex":[0.9847807,0.00366387,0.005274832,0.001694456,0.004045829,0.0005403851],"domain_scores_gemma":[0.8893164,0.05524445,0.0180921,0.009173385,0.02614974,0.00202393],"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":[0.0005471645,0.00003981544,0.003680871,0.08299081,0.001015318,0.0001354788,0.0003776742,0.0003366294,0.000439179,0.006504085,0.8543062,0.04962678],"study_design_scores_gemma":[0.0001371601,0.00002993904,0.006258336,0.02033928,0.000644088,0.0001018286,0.0001639528,0.00005631307,0.0002092444,0.001464326,0.9705524,0.00004299691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.000701734,0.01188628,0.001693193,0.001553619,0.0003688128,0.000855564,0.9723622,0.0004976853,0.01008092],"genre_scores_gemma":[0.007860453,0.01961109,0.008510292,0.002834436,0.000486034,0.008453753,0.9435253,0.001023282,0.007695293],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9973248,"threshold_uncertainty_score":0.4226488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001184433658617,"score_gpt":0.3837815192361744,"score_spread":0.2836630758703128,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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