{"id":"W4399198021","doi":"10.48550/arxiv.2405.18496","title":"Black hole-neutron star mergers in Einstein-scalar-Gauss-Bonnet gravity","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Colleges and Universities; Institut Périmètre de physique théorique; Alliance de recherche numérique du Canada; University of Toronto; Government of Canada; National Science Foundation","keywords":"Neutron star; Einstein; Physics; Black hole (networking); Scalar (mathematics); Gauss–Bonnet gravity; Star (game theory); Gauss; Astrophysics; Mathematical physics; Theoretical physics; Geometry; Mathematics; Quantum mechanics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000463252,0.0003512385,0.0003775704,0.0004291395,0.0004949765,0.0006618552,0.0003804557,0.0004830097,0.0009462156],"category_scores_gemma":[0.001512378,0.0001888405,0.0004144781,0.0002741602,0.0007943148,0.0007668604,0.0007034728,0.0004117146,0.00006315918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008334364,"about_ca_system_score_gemma":0.0004271843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009613119,"about_ca_topic_score_gemma":0.007165807,"domain_scores_codex":[0.9999313,0.00002316467,0.000002942135,0.000009606267,0.00001437681,0.00001853349],"domain_scores_gemma":[0.9996766,0.0001049042,0.0001051901,0.00001917935,0.0000226967,0.00007150881],"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":[0.0004104541,0.0001323061,0.05047262,0.00006910272,0.0001164434,0.0007533405,0.0004383949,0.8001729,0.01919392,0.1231016,0.0004592741,0.004679686],"study_design_scores_gemma":[0.00005958441,0.00009930305,0.01846841,0.00001008472,0.00002150288,0.0000985923,0.0001119534,0.9624287,0.001845685,0.01648006,0.0003545904,0.00002145027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960186,0.00005098111,0.002073985,0.00006703476,0.000007516373,0.000005841979,0.00001956408,0.0000192233,0.001737326],"genre_scores_gemma":[0.9987167,0.00004711861,0.0008508308,0.00001520299,0.000004566259,0.000003306388,0.00002586034,0.00001015975,0.0003261839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009613119,"threshold_uncertainty_score":0.01911432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911280477073159,"score_gpt":0.2479511604964575,"score_spread":0.208838355725726,"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."}}