{"id":"W7081920159","doi":"10.48550/arxiv.2509.13163","title":"Euclid preparation LXXIX. Using mock low surface brightness dwarf galaxies to probe Euclid Wide Survey detection capabilities","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Canadian Institute for Theoretical Astrophysics","funders":"","keywords":"Surface brightness; Galaxy; Dwarf galaxy; Dwarf galaxy problem; Brightness; Confusion; Surface brightness fluctuation; RADIUS","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":[0.001685929,0.001960696,0.001205996,0.001592194,0.0004762956,0.001568433,0.002287491,0.0007482786,0.07414988],"category_scores_gemma":[0.004848775,0.001044262,0.001080401,0.001773132,0.0004543319,0.001246736,0.002124885,0.002189955,0.07356006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627829,"about_ca_system_score_gemma":0.000994073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002123764,"about_ca_topic_score_gemma":0.003436372,"domain_scores_codex":[0.9991488,0.0001979813,0.00007015302,0.0002431645,0.0002384619,0.0001014444],"domain_scores_gemma":[0.9982381,0.0003260423,0.0001373778,0.0007079225,0.0003952199,0.0001953884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009259393,0.0001188054,0.006813022,0.001400865,0.0002180444,0.0004100819,0.0003531402,0.006938905,0.0115495,0.04503687,0.8398159,0.08641907],"study_design_scores_gemma":[0.0003594258,0.0001459682,0.006590451,0.0001472042,0.00006671085,0.0004481414,0.00005667321,0.01606659,0.01242958,0.02020441,0.9434144,0.00007035615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01333546,0.001202442,0.3477315,0.0005200935,0.000967988,0.001438958,0.430131,0.1237383,0.08093429],"genre_scores_gemma":[0.03291938,0.001015481,0.3766016,0.0005029314,0.0002249873,0.00323019,0.5130102,0.04624157,0.02625364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07414988,"threshold_uncertainty_score":0.2480561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06321187053881877,"score_gpt":0.2091645464508001,"score_spread":0.1459526759119813,"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."}}