{"id":"W2764031790","doi":"10.1063/1.3059040","title":"Clustering of Low-Redshift (z≤2.2) Quasars from the Sloan Digital Sky Survey","year":2008,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Los Alamos National Laboratory; U.S. Naval Observatory; Fermilab; Max-Planck-Institut für Astronomie; Max-Planck-Gesellschaft; Chinese Academy of Sciences; New Mexico State University; University of Portsmouth; Universität Basel; University of Pittsburgh; Johns Hopkins University; Ohio State University; U.S. Department of Energy; Princeton University; National Science Foundation; University of Washington; Alfred P. Sloan Foundation; Drexel University; National Aeronautics and Space Administration; Case Western Reserve University","keywords":"Quasar; Redshift; Astrophysics; Physics; Cosmology; Sky; Correlation function (quantum field theory); Dark matter; Redshift survey; Amplitude; Cluster analysis; Astronomy; Statistics; Galaxy; Optics; Quantum mechanics; Mathematics","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":[0.000190382,0.0002059397,0.0002409063,0.00004362183,0.0002398165,0.0001452258,0.0004460035,0.00004337074,0.0002465454],"category_scores_gemma":[0.00004830648,0.0001683096,0.00007786793,0.0002247963,0.000210189,0.0008980605,0.0001420469,0.0001729707,0.00008051373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003361385,"about_ca_system_score_gemma":0.0001375761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697709,"about_ca_topic_score_gemma":0.00004081006,"domain_scores_codex":[0.9987529,0.00001269186,0.000400458,0.0002495106,0.0002833341,0.0003011194],"domain_scores_gemma":[0.9989198,0.00009882149,0.0002796171,0.0001719159,0.0004473627,0.00008242215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001599957,0.00004959644,0.9912316,0.00001049334,0.00003906868,6.50154e-9,0.006580751,0.000001485111,0.0002320861,0.001063002,0.0005336361,0.0002423022],"study_design_scores_gemma":[0.0003076302,0.00003542219,0.9912271,0.00004276717,0.000008855477,0.0000010056,0.001756144,0.00444181,0.0002164377,0.001657071,0.0001164529,0.000189271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923526,0.00001177898,0.002815316,0.0001068617,0.00009915789,0.0001927183,0.0001495879,0.00004448621,0.004227496],"genre_scores_gemma":[0.9993748,0.000007609162,0.0001374576,0.000005206148,0.0001488685,0.00002144384,0.0001312615,0.00001923244,0.0001540867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007022237,"threshold_uncertainty_score":0.6863467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219438385035897,"score_gpt":0.2185929077714194,"score_spread":0.1963985239210605,"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."}}