{"id":"W7108204497","doi":"10.48550/arxiv.2511.22732","title":"EMU and Euclid: Detection of a radio-optical galaxy clustering cross-correlation signal between the Evolutionary Map of the Universe and Euclid","year":2025,"lang":"","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":"Perimeter Institute; University of Waterloo","funders":"","keywords":"Robustness (evolution); Cluster analysis; Galaxy; Redshift; SIGNAL (programming language); Measure (data warehouse); Redshift survey; Universe","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":[0.001165359,0.0002633307,0.0002060601,0.00178759,0.0002402944,0.000710673,0.0004346512,0.0003374894,0.000628992],"category_scores_gemma":[0.004837617,0.0002132774,0.0003036449,0.001202762,0.0003404365,0.0003578033,0.001211918,0.000236992,0.0002530521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000440692,"about_ca_system_score_gemma":0.0002509276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005211526,"about_ca_topic_score_gemma":0.006841798,"domain_scores_codex":[0.9991928,0.0001891485,0.00004653254,0.0002630792,0.0002037006,0.0001047938],"domain_scores_gemma":[0.9967591,0.0007808501,0.0008771274,0.0005383102,0.0005508325,0.0004937437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003204036,0.00005038976,0.9590281,0.00007066844,0.0001759354,0.0001422283,0.0004290382,0.006470362,0.01109937,0.001508463,0.001502732,0.01920228],"study_design_scores_gemma":[0.000006878996,0.00002990614,0.9853179,0.00001086554,0.00001472732,0.0001246868,0.00005875729,0.01093842,0.002461931,0.0001852681,0.0008383096,0.00001224475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961219,0.00007324704,0.001610542,0.00003453975,0.000004773629,0.00000581741,0.0006638902,0.0001251608,0.001360053],"genre_scores_gemma":[0.9952328,0.00002088125,0.002927609,0.00002206175,0.000004808916,0.000007305255,0.001564694,0.00003029735,0.0001894842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005211526,"threshold_uncertainty_score":0.01036239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977476861461704,"score_gpt":0.1778607359710488,"score_spread":0.1580859673564318,"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."}}