{"id":"W2597844044","doi":"10.1051/0004-6361/201630014","title":"The two-component giant radio halo in the galaxy cluster Abell 2142","year":2017,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Naval Research Laboratory; Canadian Space Agency; Jet Propulsion Laboratory; Tata Institute of Fundamental Research; National Aeronautics and Space Administration; California Institute of Technology; Associated Universities; University of Minnesota; Office of Naval Research; National Radio Astronomy Observatory; National Science Foundation","keywords":"Astrophysics; Physics; Radio halo; Halo; Abell 2744; Cluster (spacecraft); Galaxy cluster; Astronomy; Type-cD galaxy; Radio galaxy; Brightest cluster galaxy; Galaxy; Computer science","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":[0.0001322002,0.0003816045,0.000254321,0.001173802,0.000873572,0.0004806515,0.0002740259,0.0002303714,0.0006949284],"category_scores_gemma":[0.0002037844,0.0001872847,0.0001364506,0.000729366,0.0003655623,0.0002097491,0.001118799,0.0001812575,0.000220944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861085,"about_ca_system_score_gemma":0.0002108434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005380818,"about_ca_topic_score_gemma":0.007754826,"domain_scores_codex":[0.9999211,0.000006961396,0.000002700901,0.00002041741,0.00001619427,0.00003263415],"domain_scores_gemma":[0.9997671,0.0000188531,0.00007800396,0.0000171459,0.00002130146,0.00009755778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001180436,0.0001795493,0.6090725,0.0001274605,0.0001688401,0.002948224,0.001201862,0.001486573,0.3750754,0.0008641269,0.0007246695,0.006970355],"study_design_scores_gemma":[0.00001519322,0.00008853718,0.9952265,0.000003486415,0.00002377775,0.0003441912,0.0002556068,0.0005643737,0.002537146,0.0001384375,0.0007916092,0.00001118066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993764,0.00007567393,0.00004016701,0.0000133197,0.000001464987,0.000002017034,0.00005910693,0.000006353429,0.0004256504],"genre_scores_gemma":[0.9993087,0.00003978915,0.0001582358,0.00001356519,0.000007334363,0.000002867142,0.0002344152,0.000005653229,0.0002294917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005380818,"threshold_uncertainty_score":0.01069897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007091609839418629,"score_gpt":0.208470059077704,"score_spread":0.2013784492382854,"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."}}