{"id":"W6891919567","doi":"10.48550/arxiv.2002.00959","title":"Galaxy mergers in EAGLE do not induce a significant amount of black hole growth yet do increase the rate of luminous AGN","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Victoria","funders":"Science and Technology Facilities Council","keywords":"Galaxy; Accretion (finance); Redshift; Galaxy merger; Black hole (networking); Active galactic nucleus; Supermassive black hole; Galaxy formation and evolution","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":[0.0003071642,0.0002998447,0.0003258363,0.0002130715,0.0001673442,0.0004270807,0.0006890693,0.0003657886,0.001689668],"category_scores_gemma":[0.001677025,0.0002003949,0.0003911438,0.0002401576,0.0003175315,0.0003613709,0.0005444117,0.0003449472,0.0001450538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004922354,"about_ca_system_score_gemma":0.0003053018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005293633,"about_ca_topic_score_gemma":0.005258445,"domain_scores_codex":[0.9998822,0.00002474754,0.000006100006,0.00002895492,0.0000230424,0.00003498427],"domain_scores_gemma":[0.9994081,0.0002486524,0.0001696578,0.00005535644,0.00003392715,0.00008424048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006644672,0.0002803267,0.1654669,0.0001602457,0.0003662827,0.000543407,0.0001788873,0.7893342,0.02691334,0.008319484,0.000702824,0.007069647],"study_design_scores_gemma":[0.0001403558,0.0003712293,0.05719344,0.00001218039,0.00008285691,0.0001652633,0.0001122631,0.9291349,0.009837265,0.001537372,0.001384018,0.00002882269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995695,0.0000451291,0.002181005,0.00002995571,0.000008710446,0.00001024404,0.0002337464,0.00007363418,0.001722683],"genre_scores_gemma":[0.9965914,0.00003748368,0.002393586,0.00002681992,0.000004826681,0.00001689264,0.0003234451,0.00002486007,0.0005805999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005293633,"threshold_uncertainty_score":0.01052564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03068393347396509,"score_gpt":0.1751334096816502,"score_spread":0.1444494762076851,"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."}}