{"id":"W2785801058","doi":"10.3847/1538-4365/aaacce","title":"HFF-DeepSpace Photometric Catalogs of the 12 Hubble Frontier Fields, Clusters, and Parallels: Photometry, Photometric Redshifts, and Stellar Masses","year":2018,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Herzberg Institute of Astrophysics","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; NASA Exoplanet Science Institute; National Aeronautics and Space Administration; California Institute of Technology; W. M. Keck Foundation; Space Telescope Science Institute; National Science Foundation","keywords":"Photometry (optics); Photometric redshift; Galaxy; Redshift; Stellar population; Population; Hubble Ultra-Deep Field; Homogeneous","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003736607,0.000297482,0.0003845504,0.000283355,0.0007750359,0.0002161258,0.0005023441,0.00004463192,0.0005320128],"category_scores_gemma":[0.00002817653,0.0001850851,0.0001441381,0.001098444,0.000627723,0.0005805918,0.0003956296,0.0003677444,0.00001102431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005897729,"about_ca_system_score_gemma":0.00006870434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003062244,"about_ca_topic_score_gemma":0.00002491463,"domain_scores_codex":[0.9980028,0.0001726182,0.0005202696,0.0002476072,0.0005720411,0.0004846608],"domain_scores_gemma":[0.9986165,0.0001257129,0.0004849821,0.0004318879,0.0001831331,0.0001577553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001742261,0.0001916667,0.9843465,0.00003957996,0.00035566,1.036822e-7,0.00248506,0.0000233365,0.001148598,0.00260122,0.007968971,0.0006650874],"study_design_scores_gemma":[0.00131362,0.0006363965,0.9740237,0.00004278798,0.0001712411,0.00002298126,0.004235503,0.000310455,0.006595412,0.008456541,0.003885841,0.0003055005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944666,0.0002535336,0.003414205,0.0009895676,0.0002669507,0.0004186488,0.00009783453,0.00001458775,0.00007805701],"genre_scores_gemma":[0.9954576,0.0001239905,0.003357259,0.00001697848,0.0005257967,0.0000211903,0.0000229715,0.00002530137,0.000448936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01032277,"threshold_uncertainty_score":0.7547552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008225278189356748,"score_gpt":0.2184313551877966,"score_spread":0.2102060769984399,"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."}}