{"id":"W4392490141","doi":"10.1093/mnras/stae1792","title":"Redshift evolution and covariances for joint lensing and clustering studies with DESI Y1","year":2024,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"SLAC National Accelerator Laboratory; Division of Astronomical Sciences; Science and Technology Facilities Council; Office of Science; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Ministerio de Ciencia e Innovación; National Energy Research Scientific Computing Center; Aspen Center for Physics; Heising-Simons Foundation; Gordon and Betty Moore Foundation; U.S. Department of Energy; Consejo Nacional de Ciencia y Tecnología; National Science Foundation","keywords":"Physics; Redshift; Astrophysics; Halo; Cluster analysis; Galaxy; Cosmology; Dark energy; Weak gravitational lensing; Photometric redshift; Galaxy formation and evolution; Astronomy; Statistics","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":[0.003022252,0.0003009031,0.000436219,0.001329668,0.0003832459,0.0008367873,0.0005345445,0.0003146839,0.00210547],"category_scores_gemma":[0.007484161,0.0002829198,0.00062127,0.001312481,0.0004512037,0.0005978021,0.001001084,0.0004770836,0.0003707312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248428,"about_ca_system_score_gemma":0.0005105608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03179274,"about_ca_topic_score_gemma":0.02815086,"domain_scores_codex":[0.999207,0.0001630178,0.00003655272,0.0002844305,0.0001910749,0.0001180452],"domain_scores_gemma":[0.9925832,0.002479598,0.002220665,0.001055072,0.001089924,0.0005716583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001363984,0.00002596336,0.970586,0.00001270672,0.0001379215,0.00006200314,0.0001193795,0.02063969,0.001320486,0.001236593,0.0009143502,0.00480842],"study_design_scores_gemma":[0.000009369021,0.00003735797,0.938722,0.000005726326,0.00002379253,0.00005687015,0.0001058073,0.05851845,0.001268052,0.000517448,0.0007133533,0.00002169758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978927,0.00003335318,0.0007628888,0.00004231726,0.0000018278,0.000004461074,0.0008122494,0.00004923056,0.0004010767],"genre_scores_gemma":[0.995985,0.00001907722,0.0007293542,0.000008327111,0.000004654003,0.000006122637,0.002895453,0.0000363386,0.0003156955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03179274,"threshold_uncertainty_score":0.06321543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504993611368652,"score_gpt":0.2202736116236076,"score_spread":0.2052236755099211,"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."}}