{"id":"W4391514904","doi":"10.48550/arxiv.2401.17945","title":"Euclid preparation XLVI. The Near-IR Background Dipole Experiment with Euclid","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Perimeter Institute; University of Waterloo","funders":"Integrated Electronics Engineering Center, Binghamton University; Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; European Regional Development Fund; Staatssekretariat für Bildung, Forschung und Innovation; Agencia Estatal de Investigación; Fundação para a Ciência e a Tecnologia; Goddard Space Flight Center; National Astronomical Observatory of Japan; Institut de Física d'Altes Energies; Norsk Romsenter; Agenția Spațială Română; Science and Technology Facilities Council; European Space Agency; Agenzia Spaziale Italiana; Junta de Castilla y León; National Aeronautics and Space Administration","keywords":"Cosmic microwave background; Physics; Astrophysics; Galaxy; Dipole; Cosmology; Astronomy; Cosmic background radiation; Kinematics; COSMIC cancer database; Classical mechanics; Quantum mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00199573,0.00177104,0.001279764,0.002756099,0.001014908,0.003436776,0.002205585,0.0008721061,0.4420851],"category_scores_gemma":[0.004406323,0.0009011148,0.0008781412,0.003924171,0.000516338,0.001966787,0.003099862,0.001475731,0.3313845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330624,"about_ca_system_score_gemma":0.001729755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004282072,"about_ca_topic_score_gemma":0.006711737,"domain_scores_codex":[0.9984023,0.00034619,0.00009889372,0.0003845573,0.0006398813,0.0001282145],"domain_scores_gemma":[0.9977266,0.0002782596,0.0001736361,0.0008140593,0.0006450476,0.000362442],"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":[0.0002142226,0.00002997351,0.0007615568,0.0003087713,0.00002855645,0.00006316412,0.00005940049,0.0004826165,0.0008955502,0.02921473,0.8975071,0.07043449],"study_design_scores_gemma":[0.00003249955,0.00001833537,0.001127607,0.00006409921,0.000006743167,0.00009586875,0.00002204241,0.0002951287,0.000725421,0.006735502,0.9908587,0.00001799274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002365401,0.00376134,0.04727972,0.002221022,0.00354219,0.0005729463,0.5104327,0.02281232,0.4070124],"genre_scores_gemma":[0.01903209,0.003493263,0.0860272,0.001467766,0.001060688,0.001411353,0.5697532,0.02154913,0.2962053],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4420851,"threshold_uncertainty_score":0.7957979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05619013065970204,"score_gpt":0.2344820849263676,"score_spread":0.1782919542666656,"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."}}