{"id":"W4387225648","doi":"10.48550/arxiv.2309.16541","title":"Cosmological constraints from density-split clustering in the BOSS CMASS galaxy sample","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"SLAC National Accelerator Laboratory; Lawrence Berkeley National Laboratory; Science and Technology Facilities Council; National Energy Research Scientific Computing Center; Canadian Space Agency; Office of Science; Government of Canada; Ministry of Colleges and Universities; Alliance de recherche numérique du Canada; Institut Périmètre de physique théorique; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; European Commission; Innovation, Science and Economic Development Canada","keywords":"Physics; Galaxy; Halo; Astrophysics; Redshift; Planck; Dark energy; Cluster analysis; Sigma; Cosmology; Astronomy; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001414998,0.0005496298,0.0005478596,0.0009456344,0.0006276811,0.001252092,0.0007419802,0.0003969812,0.002199607],"category_scores_gemma":[0.0055709,0.0004200047,0.0006467775,0.0009837104,0.0004927125,0.0005453525,0.001024007,0.0005124034,0.001224266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009452237,"about_ca_system_score_gemma":0.000512495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02174286,"about_ca_topic_score_gemma":0.02313902,"domain_scores_codex":[0.9994465,0.000140794,0.00001979278,0.0001711072,0.0001233121,0.00009852799],"domain_scores_gemma":[0.9982657,0.0003057505,0.0002441313,0.0006390389,0.0002510568,0.0002943965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000953879,0.00007743936,0.8792186,0.00008738617,0.0003839437,0.0002131569,0.001309271,0.05720516,0.01390856,0.009785827,0.008944773,0.02791198],"study_design_scores_gemma":[0.00008153558,0.0000887834,0.8314382,0.00005124657,0.00009411782,0.0002151851,0.0004524716,0.1474724,0.0059767,0.00487391,0.009159531,0.0000959788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920641,0.00005488591,0.003557746,0.00008392664,0.000005612256,0.0000103459,0.001985103,0.0003191698,0.001919202],"genre_scores_gemma":[0.9895326,0.00003021543,0.003477812,0.00003887442,0.00001001701,0.00001345537,0.006277174,0.0001345066,0.0004854428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02174286,"threshold_uncertainty_score":0.04323256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07070879451070561,"score_gpt":0.1962142193165021,"score_spread":0.1255054248057965,"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."}}