{"id":"W2135517861","doi":"10.1111/j.1365-2966.2007.11465.x","title":"Modelling shock heating in cluster mergers – I. Moving beyond the spherical accretion model","year":2007,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Waterloo","funders":"","keywords":"Physics; Intracluster medium; Astrophysics; Galaxy cluster; Accretion (finance); Cluster (spacecraft); Galaxy; Active galactic nucleus; Astronomy; Galaxy merger; Structure formation; Galaxy formation and evolution; Brightest cluster galaxy","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":[0.00048819,0.0006211891,0.0006631808,0.0004724442,0.0006439329,0.00167993,0.001183057,0.00142419,0.001501631],"category_scores_gemma":[0.002041403,0.0004555832,0.0006914911,0.0005273507,0.0009792205,0.0008969287,0.001241129,0.0007556421,0.0002261839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500387,"about_ca_system_score_gemma":0.0007377428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02454636,"about_ca_topic_score_gemma":0.007223539,"domain_scores_codex":[0.9998339,0.00006726575,0.00001101929,0.00001979049,0.00002692792,0.00004105286],"domain_scores_gemma":[0.9992089,0.0004776574,0.0001210051,0.00005208926,0.00005972434,0.00008071129],"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":[0.00002862132,0.00002261858,0.002203368,0.00001839674,0.0000176528,0.00008330722,0.00004863314,0.9925421,0.0007692317,0.003495226,0.0001083709,0.0006624251],"study_design_scores_gemma":[0.000009735477,0.00001412233,0.0006760629,0.00000438071,0.000004574896,0.00001254545,0.00002518363,0.9975759,0.0001459598,0.001332708,0.0001934078,0.000005386937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449272,0.001333456,0.03805384,0.0009410174,0.00006945674,0.000114684,0.0003511486,0.000227133,0.01398205],"genre_scores_gemma":[0.9945318,0.000408904,0.00293383,0.00008804098,0.00003729195,0.00004228775,0.00008397317,0.0000401896,0.001833786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02454636,"threshold_uncertainty_score":0.04880697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008556957233895676,"score_gpt":0.2053346440481446,"score_spread":0.196777686814249,"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."}}