{"id":"W4376311816","doi":"10.48550/arxiv.2305.06376","title":"X-Shooting ULLYSES: massive stars at low metallicity. I. Project Description","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Agencia Estatal de Investigación; Goddard Space Flight Center; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; Ministerio de Ciencia e Innovación; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Aeronautics and Space Administration; Fonds Wetenschappelijk Onderzoek; Vlaamse regering; Nuclear Safety and Security Commission; Grantová Agentura České Republiky; Universität Heidelberg; European Regional Development Fund; European Commission; Deutsche Forschungsgemeinschaft; Space Telescope Science Institute; Smithsonian Astrophysical Observatory; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Natural Sciences and Engineering Research Council of Canada; Smithsonian Institution; National Science Foundation","keywords":"Physics; Metallicity; Astrophysics; Stars; Galaxy; Astronomy; James Webb Space Telescope; Space Telescope Imaging Spectrograph; Supernova; Surface gravity; Spitzer Space Telescope; Hubble space telescope","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001988791,0.0004755605,0.0005037962,0.0002744339,0.0003556378,0.00009253757,0.0003902986,0.0001937947,0.0001114458],"category_scores_gemma":[0.00001548208,0.0005479204,0.0004272646,0.0003667521,0.0001026942,0.0002150325,0.001359051,0.0006370868,0.000241382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000406625,"about_ca_system_score_gemma":0.0001931795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661472,"about_ca_topic_score_gemma":0.0001231848,"domain_scores_codex":[0.9978563,0.000133308,0.0002818027,0.001080443,0.0001222591,0.0005258493],"domain_scores_gemma":[0.9984897,0.0001004427,0.0004595289,0.0006052618,0.0002122956,0.0001327932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002805929,0.0004332274,0.08570383,0.0003392125,0.00270638,0.0005453019,0.00189932,0.7541885,0.003884952,0.1466804,0.002699215,0.0006390127],"study_design_scores_gemma":[0.002358103,0.0001883651,0.01003712,0.001156213,0.001774651,0.00000258972,0.00906049,0.8697689,0.001934213,0.09855136,0.001738276,0.003429679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8677119,0.00001086401,0.1272147,0.00003348644,0.0005451596,0.0005710977,0.0001629899,0.0001602598,0.003589617],"genre_scores_gemma":[0.9834863,0.00002471474,0.0007478825,0.00001806354,0.000324354,0.000001852164,0.0003204763,0.00007936161,0.014997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1264668,"threshold_uncertainty_score":0.9996972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1160845243316477,"score_gpt":0.2148835214743869,"score_spread":0.09879899714273918,"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."}}