{"id":"W4404573515","doi":"10.1088/1475-7516/2025/07/017","title":"DESI 2024 II: sample definitions, characteristics, and two-point clustering statistics","year":2025,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Toronto; Perimeter Institute; University of Waterloo","funders":"Lawrence Berkeley National Laboratory; High Energy Physics; Division of Astronomical Sciences; Agencia Estatal de Investigación; Science and Technology Facilities Council; Jet Propulsion Laboratory; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Chinese Academy of Sciences; Office of Science; Gordon and Betty Moore Foundation; Ministerio de Ciencia, Innovación y Universidades; National Aeronautics and Space Administration; California Institute of Technology; U.S. Department of Energy; National Science Foundation","keywords":"Cluster analysis; Statistics; Sample (material); Point (geometry); Mathematics; Computer science; Physics","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":[0.0003196295,0.0001119048,0.000342549,0.00003709271,0.0001681109,0.0000239961,0.00005598394,0.00003265656,0.00001312087],"category_scores_gemma":[0.0008943458,0.00009814263,0.000030095,0.00006334925,0.0001722248,0.0001039114,0.00009752237,0.0002269245,4.505237e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001735114,"about_ca_system_score_gemma":0.00004202096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003174937,"about_ca_topic_score_gemma":0.000002623001,"domain_scores_codex":[0.9991032,0.00008822107,0.0004267874,0.0001110523,0.00008039065,0.0001902969],"domain_scores_gemma":[0.9979527,0.001492672,0.0002181433,0.00009210759,0.0001506618,0.00009371673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001488575,0.000160499,0.00317282,0.0000828261,0.00007964654,0.00002732383,0.0001474717,0.00004707753,0.001987427,0.922809,0.0005236192,0.07081345],"study_design_scores_gemma":[0.0007036006,0.0002644102,0.00196497,0.00006880977,0.0001373953,0.00005350114,0.00007185991,0.005071729,0.0009150418,0.9905435,0.0001207151,0.00008443659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.225542,0.00007668299,0.7738853,0.0001973278,0.0001434047,0.00004870486,0.00006360163,0.000005753463,0.00003720261],"genre_scores_gemma":[0.4797658,0.00007310235,0.5199617,0.0001114192,0.00005590442,0.000001988488,0.000001174263,0.00000626856,0.00002263567],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2542238,"threshold_uncertainty_score":0.400214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0926694673281963,"score_gpt":0.3906568052213041,"score_spread":0.2979873378931078,"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."}}