{"id":"W4283025905","doi":"10.3847/1538-4365/ac7b8f","title":"SDSS-IV MaNGA: pyPipe3D Analysis Release for 10,000 Galaxies","year":2022,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; University of Colorado Boulder; Office of Science; Max-Planck-Institut für Astronomie; Ministério da Ciência, Tecnologia e Inovação; Vanderbilt University; Consejo Nacional de Ciencia y Tecnología; University of Oxford; York University; Leibniz-Gemeinschaft; University of Notre Dame; Instituto de Astrofísica de Canarias; Carnegie Mellon University; Universidad Nacional Autónoma de México; Alfred P. Sloan Foundation; University of Washington; Johns Hopkins University; Carnegie Institution of Washington; University of Utah; Ohio State University; U.S. Department of Energy; Smithsonian Institution; New Mexico State University; University of Portsmouth; Yale University; Max-Planck-Institut für Astrophysik","keywords":"Galaxy; Pipeline (software); Stellar population; Astrophysics; Population; Physics; Sample (material); Computer science; Astronomy; Star formation","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004250593,0.0002953509,0.0004014674,0.0001646276,0.002383594,0.0002347791,0.0006124845,0.00001419516,0.01382239],"category_scores_gemma":[0.000008659867,0.0002282839,0.0005834935,0.000614067,0.0001479119,0.0005545077,0.0002942767,0.0004083758,0.00004537201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190962,"about_ca_system_score_gemma":0.00009366767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000118655,"about_ca_topic_score_gemma":0.00001059465,"domain_scores_codex":[0.9976482,0.0002288224,0.0005964906,0.0002566442,0.000654707,0.000615104],"domain_scores_gemma":[0.9987009,0.00009739573,0.0004333297,0.0004170445,0.0001826011,0.0001687864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007240621,0.0006061546,0.8230745,0.00001732991,0.002724385,2.668363e-7,0.002689102,0.008891605,0.0005324644,0.1174692,0.04288027,0.0003906103],"study_design_scores_gemma":[0.001063254,0.0006323943,0.9381189,0.000003940546,0.0008572781,0.000008743949,0.005776519,0.001957725,0.0002730803,0.03569273,0.01526845,0.0003470381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743968,0.00002967663,0.02038659,0.003636534,0.0002581472,0.0004533487,0.0007534147,0.00004273364,0.00004281643],"genre_scores_gemma":[0.9915931,0.000004076197,0.003795316,0.000009369706,0.0009996674,0.0003192701,0.0005587473,0.00003410707,0.002686403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1150443,"threshold_uncertainty_score":0.9989152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007739094990104231,"score_gpt":0.2226577299297907,"score_spread":0.2149186349396865,"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."}}