{"id":"W3134320723","doi":"10.3847/1538-4357/abac62","title":"REQUIEM-2D Methodology: Spatially Resolved Stellar Populations of Massive Lensed Quiescent Galaxies from Hubble Space Telescope 2D Grism Spectroscopy","year":2020,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"University of Toronto; Space Telescope Science Institute; National Research Foundation; Alfred P. Sloan Foundation; Danmarks Grundforskningsfond; National Aeronautics and Space Administration; National Science Foundation","keywords":"Physics; Astrophysics; Grism; Galaxy; Metallicity; Advanced Camera for Surveys; Hubble space telescope; Stellar mass; Astronomy; Redshift; Star formation; Photometry (optics); Galaxy formation and evolution; Hubble Ultra-Deep Field; Hubble Deep Field; Stars","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":[0.002133994,0.0005749626,0.0005025706,0.001151611,0.0003573544,0.0009217317,0.001881904,0.0007264125,0.003637217],"category_scores_gemma":[0.00620064,0.0006712938,0.0009203834,0.0005786844,0.0003912784,0.0008245918,0.001492326,0.0007022336,0.0008962845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006786848,"about_ca_system_score_gemma":0.001051481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009215664,"about_ca_topic_score_gemma":0.01333154,"domain_scores_codex":[0.9996127,0.0001420404,0.00002105007,0.0001117006,0.00007804526,0.00003444624],"domain_scores_gemma":[0.9985927,0.0005261849,0.0002046746,0.0003894216,0.0001851532,0.0001019345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004870293,0.0002451702,0.1607637,0.0003334572,0.0007466327,0.0003697219,0.000276971,0.6317014,0.01076302,0.03385083,0.02191485,0.1385472],"study_design_scores_gemma":[0.0000411188,0.00002361241,0.007705374,0.00001519144,0.00002149061,0.0001061546,0.00001949634,0.9775879,0.002045234,0.008335163,0.004068513,0.00003069289],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1029036,0.0001847212,0.8773498,0.0002466819,0.00004252944,0.0001338403,0.008610734,0.008811003,0.00171706],"genre_scores_gemma":[0.4816737,0.0001258761,0.499718,0.0002166101,0.00006814692,0.000350958,0.0150565,0.001194297,0.001595804],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009215664,"threshold_uncertainty_score":0.01832402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672995094423096,"score_gpt":0.2667996013552976,"score_spread":0.2300696504110666,"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."}}