{"id":"W4416098276","doi":"10.48550/arxiv.2505.05032","title":"Gravitational Lenses in UNIONS and Euclid (GLUE) I: A Search for Strong Gravitational Lenses in UNIONS with Subaru, CFHT, and Pan-STARRS Data","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Workforce Development for Teachers and Scientists; Japan Society for the Promotion of Science; Canadian Space Agency; Smithsonian Astrophysical Observatory; Planetary Science Division; Oak Ridge Institute for Science and Education; Office of Science; Max-Planck-Institut für Astronomie; Eötvös Loránd Tudományegyetem; Toray Science Foundation; High Energy Accelerator Research Organization; National Astronomical Observatory of Japan; Centre National de la Recherche Scientifique; Alliance de recherche numérique du Canada; Max-Planck-Gesellschaft; Ministry of Education, Culture, Sports, Science and Technology; Queen's University; Cabinet Office, Government of Japan; Gordon and Betty Moore Foundation; Queen's University Belfast; Space Telescope Science Institute; Canarie; Los Alamos National Laboratory; Johns Hopkins University; Princeton University; Japan Science and Technology Agency; Smithsonian Institution; U.S. Department of Energy; Canadian Foundation for AIDS Research; Science Mission Directorate; Oak Ridge Associated Universities; University of Hawai'i; Academia Sinica; National Central University; Nuclear Safety and Security Commission; National Aeronautics and Space Administration; Durham University; National Science Foundation","keywords":"Spectrograph; Lens (geology); Galaxy; Redshift; Sky; Gravitational lens; Dark energy; Strong gravitational lensing","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":[],"consensus_categories":[],"category_scores_codex":[0.001060556,0.0005638123,0.0003982977,0.002450475,0.0006387935,0.0008643017,0.0006757849,0.0003896434,0.001833932],"category_scores_gemma":[0.002038303,0.0003136879,0.0005609799,0.001614414,0.0003594984,0.0006652361,0.00205225,0.0004373742,0.001024119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005922243,"about_ca_system_score_gemma":0.0007801597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264978,"about_ca_topic_score_gemma":0.06149766,"domain_scores_codex":[0.9991727,0.0001006487,0.00004478243,0.0002233087,0.0002672125,0.0001913017],"domain_scores_gemma":[0.99863,0.0001477149,0.0003339214,0.0002309008,0.0001869307,0.0004705352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001125777,0.0003248569,0.85518,0.0001930923,0.000392401,0.0008943282,0.0009890767,0.0075189,0.01188755,0.001521538,0.03941792,0.08055463],"study_design_scores_gemma":[0.0001803969,0.0002870772,0.9259596,0.00007821946,0.0002047829,0.0006221224,0.001202223,0.03991085,0.007977719,0.000996719,0.02251606,0.00006425566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847679,0.0002863839,0.002438275,0.0001011395,0.00001621241,0.00004393565,0.007167467,0.001643291,0.003535553],"genre_scores_gemma":[0.9400085,0.0001407107,0.01389568,0.00009726251,0.00003700202,0.00003914183,0.04407155,0.000261035,0.001449264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02264978,"threshold_uncertainty_score":0.04503584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06954731031927629,"score_gpt":0.2278756832071548,"score_spread":0.1583283728878785,"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."}}