{"id":"W3025298258","doi":"10.1051/0004-6361/202038415","title":"Photometric redshifts for the Pan-STARRS1 survey","year":2020,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Planetary Science Division; Science Mission Directorate; Smithsonian Astrophysical Observatory; Max-Planck-Institut für Astronomie; Queen's University; University of Edinburgh; Eötvös Loránd Tudományegyetem; U.S. Department of Energy; European Commission; Office of Science; Johns Hopkins University; Space Telescope Science Institute; Durham University; Smithsonian Institution; Alfred P. Sloan Foundation; Queen's University Belfast; National Aeronautics and Space Administration; National Central University; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Redshift; Photometric redshift; Galaxy; Sky; Outlier; Standard deviation; Red shift; Data set","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":[0.001863061,0.0006107984,0.0005386275,0.00283086,0.0003811542,0.000777934,0.0009402108,0.0005360666,0.004944681],"category_scores_gemma":[0.004521805,0.0004114694,0.0008460589,0.002321983,0.0002044638,0.0006951665,0.001376485,0.0009289742,0.005839507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005607233,"about_ca_system_score_gemma":0.0004511964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005505367,"about_ca_topic_score_gemma":0.006205651,"domain_scores_codex":[0.9987352,0.0001995095,0.00005709385,0.0004105449,0.0004900729,0.0001074786],"domain_scores_gemma":[0.9981021,0.0001730261,0.0004411933,0.0008265679,0.0003583815,0.00009873358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005420343,0.00032352,0.361487,0.0007022327,0.0006000823,0.0002169398,0.0005677688,0.05238934,0.04637277,0.0100911,0.09321736,0.4334899],"study_design_scores_gemma":[0.0001283865,0.0001796601,0.6838238,0.00009180405,0.0001187816,0.0004401944,0.0001720236,0.1318871,0.02790147,0.006819982,0.1483206,0.0001162336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3819891,0.001381614,0.424153,0.0005469162,0.0002063999,0.0004170292,0.1211328,0.05130774,0.01886549],"genre_scores_gemma":[0.5095518,0.0004149437,0.3162217,0.000161904,0.0001725209,0.0003784313,0.1649947,0.003143189,0.004960875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005505367,"threshold_uncertainty_score":0.0165416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740575720738024,"score_gpt":0.2167197281006995,"score_spread":0.1993139708933193,"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."}}