{"id":"W2438739837","doi":"10.1051/0004-6361/201526952","title":"The XXL Survey","year":2016,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 People: Marie-Curie Actions; Institut national des sciences de l'Univers; Canadian Space Agency; Centre National d’Etudes Spatiales; Bundesministerium für Bildung und Forschung; Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; European Commission; National Aeronautics and Space Administration","keywords":"Jansky; Supercluster (genetic); Redshift; Photometric redshift; Source counts; Radio galaxy; Noise (video)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003956911,0.0003087081,0.0002044763,0.001831495,0.0004969991,0.0008074039,0.0005045826,0.0002519404,0.04692363],"category_scores_gemma":[0.0008715949,0.0001237795,0.0001706709,0.001722684,0.0001327581,0.0005012954,0.001125875,0.0002052796,0.0208294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364777,"about_ca_system_score_gemma":0.0007888663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236571,"about_ca_topic_score_gemma":0.0170832,"domain_scores_codex":[0.9994612,0.00005923254,0.00002687172,0.00009475403,0.0002017148,0.0001561749],"domain_scores_gemma":[0.9992296,0.00006806209,0.0002478424,0.0001023107,0.0001938909,0.0001582781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002833508,0.0001197365,0.4370011,0.000473584,0.00004252116,0.0006185687,0.001663278,0.0001792477,0.004719645,0.004711503,0.3766399,0.1735475],"study_design_scores_gemma":[0.00002736496,0.00005869137,0.3913184,0.00007087339,0.000009874403,0.0004004563,0.0005727179,0.0002576543,0.0007340085,0.0002100821,0.6063303,0.000009557421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4012773,0.001422676,0.002308871,0.002036565,0.0002376955,0.0005615181,0.4154066,0.001404109,0.1753447],"genre_scores_gemma":[0.3673273,0.001771638,0.004571024,0.002366569,0.0003364089,0.0007234039,0.4468603,0.0002556974,0.1757877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04692363,"threshold_uncertainty_score":0.1569752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007292630900901956,"score_gpt":0.1934209436857545,"score_spread":0.1861283127848525,"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."}}