{"id":"W4413883340","doi":"10.1088/1475-7516/2025/09/008","title":"DESI 2024 V: Full-Shape galaxy clustering from galaxies and quasars","year":2025,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Perimeter Institute; University of Waterloo","funders":"Division of Astronomical Sciences; Science and Technology Facilities Council; Office of Science; Ministerio de Ciencia e Innovación; Gordon and Betty Moore Foundation; U.S. Department of Energy; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; National Science Foundation","keywords":"Physics; Astrophysics; Quasar; Galaxy; Brightest cluster galaxy; Cluster analysis; Interacting galaxy; Astronomy; Lenticular galaxy; Galaxy cluster; Galaxy formation and evolution; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001668366,0.0001460999,0.0002805736,0.00005810548,0.0001815428,0.00005955355,0.0001020533,0.00002854423,0.00008471186],"category_scores_gemma":[0.00001076462,0.0001358813,0.00006376923,0.0001292522,0.0001663432,0.0003704055,0.00008570166,0.0002212369,0.000005829742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002393383,"about_ca_system_score_gemma":0.00006618705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003492045,"about_ca_topic_score_gemma":0.000003685964,"domain_scores_codex":[0.9990749,0.00006127093,0.0004009216,0.0001300066,0.0001049795,0.0002279002],"domain_scores_gemma":[0.9993036,0.0001103927,0.0002557907,0.0001132195,0.0001266538,0.00009031997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009087568,0.00006444559,0.9885992,0.00001065802,0.0001418195,1.65473e-7,0.0003811803,0.0001050709,0.001941865,0.004675811,0.0003096277,0.003679286],"study_design_scores_gemma":[0.0008236927,0.0001320732,0.9372962,0.0000374501,0.00008449795,0.000009409654,0.0004615438,0.005384805,0.00118503,0.05442228,0.00006124881,0.0001017727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871997,0.0001771195,0.01186606,0.0002954637,0.0002859338,0.00006447969,0.000006487688,0.000008355451,0.0000963475],"genre_scores_gemma":[0.9977161,0.00002081336,0.001920212,0.000007107267,0.0002675658,0.000003657454,0.000003290068,0.000008399149,0.00005281036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.051303,"threshold_uncertainty_score":0.5541077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009633602168078004,"score_gpt":0.232914542674472,"score_spread":0.223280940506394,"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."}}