{"id":"W3208921176","doi":"10.1093/mnras/stab2995","title":"Dark Energy Survey Year 3 results: galaxy sample for BAO measurement","year":2021,"lang":"en","type":"article","venue":"UA Campus Repository (The University of Arizona)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"University of Illinois at Urbana-Champaign; Financiadora de Estudos e Projetos; Science and Technology Facilities Council; Ministério da Ciência, Tecnologia e Inovação; Ohio State University; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Chicago; National Science Foundation","keywords":"Physics; Redshift; Galaxy; Astrophysics; Population; Baryon; Cluster analysis; Dark energy; Spurious relationship; Sample (material); Astronomy; Cosmology; 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":[0.001409946,0.0006103081,0.0004363442,0.001710088,0.0003285298,0.001013334,0.0004638271,0.0004230566,0.00754887],"category_scores_gemma":[0.003435522,0.0002005312,0.0006257736,0.00220125,0.0002008766,0.0003394147,0.0009351724,0.0004322552,0.005599916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005557803,"about_ca_system_score_gemma":0.0004835742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01648104,"about_ca_topic_score_gemma":0.01448776,"domain_scores_codex":[0.9990652,0.0001557356,0.00006116616,0.0001801041,0.0003722637,0.000165412],"domain_scores_gemma":[0.9977807,0.0002132001,0.0003858962,0.0005855513,0.0007590747,0.0002755015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001245385,0.0002166446,0.6844249,0.0003335262,0.0005079143,0.0002702191,0.0004346958,0.007643908,0.008769954,0.003425059,0.2361442,0.05658343],"study_design_scores_gemma":[0.000107135,0.0001006269,0.8786314,0.00003114027,0.00006077192,0.0001990302,0.0001747423,0.003932592,0.003210119,0.0005841472,0.1129298,0.00003861638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4120009,0.0004983541,0.01144409,0.0004247403,0.0001405597,0.0004298679,0.5524973,0.003842588,0.01872176],"genre_scores_gemma":[0.3424158,0.0001650303,0.01003828,0.000206415,0.00007722446,0.0004808175,0.6388844,0.001170982,0.006561012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01648104,"threshold_uncertainty_score":0.03277022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228276099477052,"score_gpt":0.1806267534216704,"score_spread":0.1683439924268998,"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."}}