{"id":"W2191540195","doi":"10.1088/0004-637x/811/2/111","title":"DEEP<i>CHANDRA</i>,<i>HST</i>-COS, AND MEGACAM OBSERVATIONS OF THE PHOENIX CLUSTER: EXTREME STAR FORMATION AND AGN FEEDBACK ON HUNDRED KILOPARSEC SCALES","year":2015,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Perimeter Institute; University of Waterloo","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Smithsonian Astrophysical Observatory; Fonds de recherche du Québec – Nature et technologies; Space Telescope Science Institute; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration; Smithsonian Institution; National Science Foundation","keywords":"Physics; Astrophysics; Intracluster medium; Star formation; Galaxy; Astronomy; Active galactic nucleus; Stars; Population; Quasar; Redshift; Galaxy cluster","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001096604,0.0002463681,0.0001196718,0.0006155798,0.0002487513,0.0004336553,0.0003506107,0.0001378368,0.001784774],"category_scores_gemma":[0.0001727158,0.0001644888,0.0001270522,0.0003979325,0.0001645458,0.0002861583,0.0004387874,0.0003706003,0.0002308677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269711,"about_ca_system_score_gemma":0.0001246623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004872784,"about_ca_topic_score_gemma":0.01286872,"domain_scores_codex":[0.9999554,0.000001842724,0.000001523725,0.00001606714,0.00001230503,0.00001287467],"domain_scores_gemma":[0.9998145,0.00001222544,0.00005874758,0.00002274161,0.00001508268,0.00007672321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004180027,0.0001943192,0.7879487,0.0000980255,0.0001840371,0.001353035,0.0004190384,0.002565018,0.1742614,0.0006530791,0.004204499,0.0277008],"study_design_scores_gemma":[0.00001743202,0.00004551169,0.9902177,0.000006880725,0.00002509976,0.0004705846,0.0000697054,0.001496735,0.005148933,0.0001476287,0.002346285,0.000007536925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955313,0.00007523324,0.0003979508,0.00005506713,0.000003622219,0.000008763535,0.001458569,0.00008586074,0.002383564],"genre_scores_gemma":[0.9939764,0.000139665,0.002213922,0.00005820237,0.00002459222,0.00000764001,0.00275159,0.00002106101,0.0008069071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004872784,"threshold_uncertainty_score":0.009688795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580588617312304,"score_gpt":0.2120374969858335,"score_spread":0.1862316108127105,"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."}}