{"id":"W2950149674","doi":"10.1103/physrevd.100.023504","title":"Beyond BAO: Improving cosmological constraints from BOSS data with measurement of the void-galaxy cross-correlation","year":2019,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"H2020 European Research Council; Lawrence Berkeley National Laboratory; Brookhaven National Laboratory; Science and Technology Facilities Council; Office of Science; York University; Ohio State University; University of Tokyo; UK Space Agency; Pennsylvania State University; University of Virginia; Carnegie Mellon University; University of Arizona; South East Physics Network; College of Engineering, Michigan State University; Princeton University; University of Washington; Alfred P. Sloan Foundation; Johns Hopkins University; University of Florida; Harvard University; University of Utah; New York University; National Science Foundation; New Mexico State University; University of Portsmouth; Vanderbilt University; Yale University; U.S. Department of Energy","keywords":"Boss; Void (composites); Galaxy; Physics; Astrophysics; Engineering; Mechanical engineering; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002238863,0.0006689127,0.0007108377,0.002020867,0.0004095618,0.001401959,0.0006897055,0.0003129322,0.001314553],"category_scores_gemma":[0.006576799,0.0004397375,0.0003756797,0.00206209,0.0005208997,0.0009205482,0.001820401,0.0007838663,0.0006695109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000546384,"about_ca_system_score_gemma":0.0006202192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162831,"about_ca_topic_score_gemma":0.02127438,"domain_scores_codex":[0.9991261,0.0002160698,0.00004341443,0.0002080493,0.0002477707,0.0001585876],"domain_scores_gemma":[0.9953001,0.001211661,0.001073902,0.001077892,0.0005443777,0.000792111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004917156,0.00009539981,0.8529196,0.0001547504,0.0003004115,0.0003413761,0.0008095871,0.0179118,0.04432099,0.01586493,0.003521833,0.06326766],"study_design_scores_gemma":[0.00006238488,0.00008979398,0.771427,0.00007691261,0.0001248405,0.0003566548,0.0002974344,0.1773872,0.02534503,0.007148746,0.01751303,0.0001710888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548987,0.000360243,0.03532378,0.0002092354,0.00002362127,0.00001750781,0.00263155,0.0007632593,0.005772025],"genre_scores_gemma":[0.9838461,0.00009468901,0.01226237,0.0000622039,0.00003492528,0.00001359936,0.003059298,0.0002058159,0.0004209458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01162831,"threshold_uncertainty_score":0.02312124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901142704216115,"score_gpt":0.3443733986265291,"score_spread":0.325361971584368,"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."}}