{"id":"W4401754312","doi":"10.1103/physrevd.110.042001","title":"Ultralight vector dark matter search using data from the KAGRA O3GK run","year":2024,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; University of Toronto; Perimeter Institute; University of British Columbia","funders":"Ministerio de Universidades; National Research, Development and Innovation Office; Institute for Cosmic Ray Research, University of Tokyo; Instituto Nazionale di Fisica Nucleare; Science and Engineering Research Board; Japan Society for the Promotion of Science; Australian Research Council; Great Southern Development Commission, Government of Western Australia; Agencia Estatal de Investigación; Govern de les Illes Balears; Ministry of Science and ICT, South Korea; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; National Research Foundation; Vlaamse regering; Ministry of Education, India; Conseil Régional, Île-de-France; Canada Foundation for Innovation; Fonds De La Recherche Scientifique - FNRS; Narodowe Centrum Nauki; Scottish Universities Physics Alliance; National Natural Science Foundation of China; National Research Foundation of Korea; Ministério da Ciência, Tecnologia, Inovações e Comunicações; Division of Human Resource Development; Direcció General de Política Universitària i Recerca, Govern Illes Balears; Korea Astronomy and Space Science Institute; Hungarian Scientific Research Fund; Generalitat de Catalunya; Generalitat Valenciana; Fonds Wetenschappelijk Onderzoek; U.S. Department of Energy; Kavli Foundation; Korea Institute of Science and Technology Information; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology; European Regional Development Fund; ICTP South American Institute for Fundamental Research; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; Council of Scientific and Industrial Research, India; Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana; Russian Foundation for Basic Research; High Energy Accelerator Research Organization; National Science and Technology Council; Research Grants Council, University Grants Committee; Centres de Recerca de Catalunya; Institut des Origines de Lyon; Russian Science Foundation; Engineering and Physical Sciences Research Council; European Commission; Leverhulme Trust; Scottish Funding Council; Science and Technology Facilities Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Astronomical Observatory of Japan; National Science Foundation; European Social Fund; Royal Society; Fundacja na rzecz Nauki Polskiej; Academia Sinica; Abdus Salam International Centre for Theoretical Physics; Ministerio de Ciencia e Innovación; Istituto Nazionale di Fisica Nucleare; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Physics; Dark matter; Context (archaeology); Astrophysics; Vector boson; Gravitational wave; Cosmology; Interferometry; Particle physics; Boson; Astronomy; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004968963,0.0004622252,0.00040166,0.001084416,0.0004336612,0.0007766918,0.000306194,0.0003723213,0.001153971],"category_scores_gemma":[0.001093458,0.0002084086,0.0003628807,0.0009391906,0.0002336087,0.0002783068,0.0009118514,0.0004157656,0.0004070763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004324727,"about_ca_system_score_gemma":0.0007038581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145116,"about_ca_topic_score_gemma":0.03415452,"domain_scores_codex":[0.9997067,0.00005490733,0.000008956881,0.00009472679,0.00005635853,0.00007832312],"domain_scores_gemma":[0.9994054,0.0001278003,0.0001170784,0.0001143339,0.00008907223,0.0001462384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003573649,0.0004770369,0.8178067,0.0002581908,0.001183137,0.001345054,0.0007166026,0.03778158,0.06640376,0.005871189,0.01189028,0.05269283],"study_design_scores_gemma":[0.0002565655,0.0003147049,0.8948168,0.00004183998,0.0004967604,0.0003578669,0.000319926,0.06360164,0.01568464,0.002420042,0.02155495,0.0001344032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903902,0.0001396342,0.001558616,0.00007561743,0.00001049535,0.00002243867,0.005244414,0.0003466464,0.002211915],"genre_scores_gemma":[0.9795815,0.00007861757,0.004591687,0.00003757488,0.00001703758,0.00002076697,0.0148697,0.0001073341,0.0006957141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0145116,"threshold_uncertainty_score":0.02885425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954324040367491,"score_gpt":0.425241257677612,"score_spread":0.385698017273937,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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