{"id":"W2599947235","doi":"10.1051/0004-6361/201630096","title":"The XXL Survey","year":2017,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Science and Technology Facilities Council; National Aeronautics and Space Administration","keywords":"Redshift; Cluster (spacecraft); Galaxy cluster; Intracluster medium; Metallicity; Scaling; Measure (data warehouse); Galaxy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004234964,0.0004479433,0.0002785441,0.002414362,0.0005664814,0.001341255,0.0005807102,0.000424868,0.2088056],"category_scores_gemma":[0.001157587,0.0001466607,0.0001644095,0.003171823,0.000141799,0.0009025262,0.001179098,0.0003739822,0.1643414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005306585,"about_ca_system_score_gemma":0.0007681209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006211695,"about_ca_topic_score_gemma":0.00832044,"domain_scores_codex":[0.9995285,0.00006498003,0.00003327362,0.00009248146,0.0001498263,0.0001310249],"domain_scores_gemma":[0.9992374,0.00006798912,0.0001591196,0.00008738731,0.0002770858,0.0001709564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001759727,0.00009164548,0.08693621,0.0005797146,0.00002248514,0.0002996336,0.0007416803,0.0000734841,0.001591895,0.005883664,0.7002167,0.203387],"study_design_scores_gemma":[0.000013535,0.00003201558,0.07445792,0.00008738257,0.000004337547,0.0002475715,0.0004030113,0.00007888668,0.0002131119,0.0003030814,0.9241525,0.000006626255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.092696,0.004373867,0.001713283,0.003695814,0.0007767759,0.0003757756,0.4589903,0.002139257,0.435239],"genre_scores_gemma":[0.09223396,0.003596662,0.001642251,0.00245205,0.0004425911,0.000487407,0.2729033,0.0004002551,0.6258416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2088056,"threshold_uncertainty_score":0.6985245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021720918028479,"score_gpt":0.2840088565872398,"score_spread":0.263791647406955,"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."}}