{"id":"W2019992772","doi":"10.1088/0004-637x/802/1/46","title":"<i>MC</i><sup>2</sup>: CONSTRAINING THE DARK MATTER DISTRIBUTION OF THE VIOLENT MERGING GALAXY CLUSTER CIZA J2242.8+5301 BY PIERCING THROUGH THE MILKY WAY","year":2015,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; Smithsonian Institution; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration; Fundação para a Ciência e a Tecnologia; Smithsonian Astrophysical Observatory; U.S. Department of Energy","keywords":"Physics; Dark matter; Astrophysics; Galaxy cluster; Galaxy; Cluster (spacecraft); Milky Way; Dark matter halo; Mass distribution; Halo; Satellite galaxy; Astronomy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002885831,0.0003054671,0.0002765399,0.00042065,0.0004161705,0.0009645195,0.000813391,0.0003672915,0.003830542],"category_scores_gemma":[0.002433026,0.0002074065,0.0003488421,0.0003124963,0.0003471839,0.0002202478,0.0004594,0.0003091758,0.0005094762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007270774,"about_ca_system_score_gemma":0.0003837953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02167831,"about_ca_topic_score_gemma":0.02559669,"domain_scores_codex":[0.9999086,0.00002011281,0.000004502556,0.00001831973,0.00002923378,0.00001924122],"domain_scores_gemma":[0.9991379,0.0003950185,0.0001407857,0.0001096043,0.0000930159,0.0001237196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001375948,0.00009812274,0.4847119,0.0001903848,0.0004058914,0.001131412,0.0002472029,0.4207833,0.04472407,0.00871328,0.01336803,0.02425052],"study_design_scores_gemma":[0.00008796754,0.0001294184,0.4266403,0.00005111916,0.0001624911,0.0003970311,0.0002482113,0.5429949,0.01965919,0.003569481,0.005972801,0.00008715081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838346,0.0001899855,0.004936615,0.0003331503,0.00002796042,0.00002523515,0.003034685,0.0004724126,0.007145299],"genre_scores_gemma":[0.9944004,0.00005404254,0.002683506,0.00006223415,0.00002383826,0.00002067716,0.002208844,0.00009245628,0.0004539648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02167831,"threshold_uncertainty_score":0.04310423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009185540398028845,"score_gpt":0.2148715131333249,"score_spread":0.2056859727352961,"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."}}