{"id":"W4413488469","doi":"10.3847/1538-4357/adf32d","title":"XRISM Constrains Atmospheric Motion and Turbulent Dissipation in the Archetypal Radio-mode Feedback System Hydra-A","year":2025,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Space Agency; Nuclear Safety and Security Commission; Grantová Agentura České Republiky; University of Nottingham; National Aeronautics and Space Administration","keywords":"Physics; Lernaean Hydra; Dissipation; Turbulence; Mode (computer interface); Astronomy; Motion (physics); Astrophysics; Classical mechanics; Mechanics; Quantum mechanics","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":[0.0001925559,0.0002516415,0.0002812634,0.0004330505,0.0003276799,0.0004262515,0.0002933907,0.0002159803,0.0008631817],"category_scores_gemma":[0.0003583601,0.0003052878,0.0002259041,0.0001846328,0.0002756418,0.0002325932,0.0006624502,0.0002164743,0.0002546801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932473,"about_ca_system_score_gemma":0.0001458104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006834586,"about_ca_topic_score_gemma":0.008733582,"domain_scores_codex":[0.9999319,0.000006455056,0.000002639254,0.00002606061,0.00001002348,0.00002295988],"domain_scores_gemma":[0.9997429,0.00002982195,0.00007641673,0.00003955377,0.00002340388,0.000087936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003967732,0.0001256034,0.8326113,0.00003975855,0.0001709597,0.0001931311,0.0003677435,0.003915973,0.1543308,0.0004861126,0.0006207222,0.006741052],"study_design_scores_gemma":[0.00001998551,0.00005950837,0.9904051,0.000003329496,0.0000247314,0.00006533304,0.00009339686,0.006869432,0.002055396,0.00009815342,0.0002956543,0.000009928993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993988,0.00002432597,0.0001209745,0.00001070444,0.000001121366,0.000001682595,0.0001310161,0.00002724351,0.000284151],"genre_scores_gemma":[0.9996303,0.000007727081,0.0001781964,0.000006658676,0.000001783929,0.000001374383,0.000116093,0.000005869423,0.00005184306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006834586,"threshold_uncertainty_score":0.01358962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005947656522853998,"score_gpt":0.2248649997255422,"score_spread":0.2189173432026882,"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."}}