{"id":"W2774235005","doi":"10.1051/0004-6361/201731606","title":"The XXL Survey","year":2017,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Jet Propulsion Laboratory; Institut national des sciences de l'Univers; Max-Planck-Institut für Astronomie; Centre National de la Recherche Scientifique; National Aeronautics and Space Administration; California Institute of Technology; Agence Nationale de la Recherche; Instituto de Astrofísica de Andalucía","keywords":"Astrophysics; Redshift; Cluster (spacecraft); Physics; Context (archaeology); Flux (metallurgy); Galaxy cluster; Galaxy; Cluster sampling; Sample (material); Chemistry; Population; Geography; Computer science; Thermodynamics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002269613,0.0001933305,0.0001620107,0.00001555836,0.002525019,0.0005538242,0.0004435383,0.00002083495,0.00005087074],"category_scores_gemma":[0.000009578858,0.0001525609,0.00007170248,0.00003613268,0.0002841909,0.0005738937,0.0001927166,0.0001703723,0.00009221565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001810871,"about_ca_system_score_gemma":0.00005822924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005394951,"about_ca_topic_score_gemma":0.00002905739,"domain_scores_codex":[0.9990056,0.00005603948,0.0002163419,0.0002162399,0.0001319097,0.0003738805],"domain_scores_gemma":[0.9987701,0.00007387628,0.0002831954,0.0006761726,0.00008979687,0.0001069283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009959987,0.00002535143,0.9455686,0.000001324815,0.00004783075,3.030573e-9,0.00007609347,0.000009344526,0.00001292691,0.01600418,0.000305368,0.03793907],"study_design_scores_gemma":[0.0003283593,0.00003198363,0.9843357,0.00000513337,0.00001328224,2.026289e-7,0.0002095474,0.0001357475,0.00009048274,0.002423178,0.01228021,0.0001462165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803225,0.00002120415,0.01786144,0.0001542785,0.0002333961,0.0001433726,0.00005765068,0.00002062623,0.001185522],"genre_scores_gemma":[0.9967446,0.000003032524,0.00210072,0.00000108324,0.0004645354,0.00002287871,0.0000707284,0.00001752295,0.0005749417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03876711,"threshold_uncertainty_score":0.9987736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037467362556679,"score_gpt":0.2149202586822347,"score_spread":0.2045455850566679,"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."}}