{"id":"W4414699266","doi":"10.1051/0004-6361/202556459","title":"<i>Euclid</i> preparation","year":2025,"lang":"en","type":"preprint","venue":"Astronomy and Astrophysics","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Fundação para a Ciência e a Tecnologia; Norsk Romsenter; Agenția Spațială Română; Agenzia Spaziale Italiana; Magyar Tudományos Akadémia; National Astronomical Observatory of Japan; European Commission; European Space Agency; National Aeronautics and Space Administration","keywords":"Galaxy; Milky Way; Halo; RADIUS; Dark matter; Sky; Dark matter halo; Galaxy formation and evolution","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":[0.001585434,0.001742598,0.00125095,0.0009822915,0.0005207959,0.00139671,0.003742596,0.0008764351,0.05069314],"category_scores_gemma":[0.005403311,0.0008667805,0.001527266,0.001858882,0.0005003139,0.0008685871,0.001647549,0.002014735,0.02331653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009337915,"about_ca_system_score_gemma":0.001364043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008315417,"about_ca_topic_score_gemma":0.008893991,"domain_scores_codex":[0.9990669,0.0003060674,0.00006727455,0.0001579615,0.0002654095,0.0001365057],"domain_scores_gemma":[0.9972837,0.0007048224,0.0001289205,0.0009192985,0.000743361,0.000219862],"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":[0.0009914623,0.0001844352,0.005352138,0.0008774751,0.0003033709,0.0003878461,0.0001806019,0.1033973,0.002651412,0.02445268,0.8280405,0.03318086],"study_design_scores_gemma":[0.001719518,0.000228411,0.007780294,0.0002808123,0.0001229187,0.0004524427,0.00009156322,0.3203134,0.01437979,0.03222097,0.6222141,0.0001957005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04235588,0.001219993,0.1669528,0.001262126,0.001704683,0.001077111,0.5660672,0.1161416,0.1032186],"genre_scores_gemma":[0.1247207,0.0007646885,0.267149,0.0009171266,0.0002232124,0.002745664,0.5495901,0.04065115,0.01323841],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05069314,"threshold_uncertainty_score":0.1695855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05638036095760989,"score_gpt":0.350662986194873,"score_spread":0.2942826252372631,"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."}}