{"id":"W2536300955","doi":"10.3847/1538-4357/aa5f56","title":"Mass Distribution in Galaxy Cluster Cores","year":2017,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto; Perimeter Institute; University of Waterloo","funders":"Science and Technology Facilities Council","keywords":"Physics; Galaxy cluster; Astrophysics; Cluster (spacecraft); Galaxy; Mass distribution; Dark matter; Abell 2744; Brightest cluster galaxy; Galaxy groups and clusters; Astronomy","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":[0.0001646192,0.000122208,0.0001578918,0.001343985,0.0002116263,0.0006077254,0.0002126305,0.000138271,0.002673915],"category_scores_gemma":[0.001295437,0.00008104404,0.00009969932,0.0006036323,0.0002603768,0.0002452642,0.0004759137,0.00008883754,0.0005860064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003471323,"about_ca_system_score_gemma":0.0001470723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006160452,"about_ca_topic_score_gemma":0.005124519,"domain_scores_codex":[0.9998829,0.00001168762,0.000007229448,0.00004377134,0.00002286284,0.00003145521],"domain_scores_gemma":[0.9992262,0.0001391138,0.0001958305,0.00007223408,0.0002153137,0.0001512029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001951952,0.00001322406,0.9843011,0.00002151075,0.00005923989,0.00006560398,0.0003341855,0.001437443,0.007382324,0.0009719807,0.0005056627,0.004712537],"study_design_scores_gemma":[0.000004420202,0.00003240182,0.9968004,0.000004188469,0.000006958756,0.00007881233,0.0001286464,0.001272365,0.0009351127,0.000265402,0.0004658573,0.000005478068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973814,0.00009104394,0.000130326,0.00001531454,0.00000131934,0.000002823046,0.0006872948,0.00001874195,0.001671672],"genre_scores_gemma":[0.9993483,0.00001758777,0.00005166189,0.000003670817,0.000001826199,0.00000138347,0.0003555012,0.000003110151,0.0002169017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006160452,"threshold_uncertainty_score":0.01224917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008653067531202945,"score_gpt":0.2288479441258489,"score_spread":0.2201948765946459,"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."}}