{"id":"W4206489080","doi":"10.1103/physrevc.105.015803","title":"Unified equations of state for cold nonaccreting neutron stars with Brussels-Montreal functionals. III. Inclusion of microscopic corrections to pasta phases","year":2022,"lang":"en","type":"article","venue":"Physical review. C","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Université de Montréal; Fonds De La Recherche Scientifique - FNRS; European Cooperation in Science and Technology","keywords":"Physics; Pairing; Neutron star; Equation of state; Proton; Phase (matter); Fermi Gamma-ray Space Telescope; State (computer science); Neutron; Order (exchange); Atomic physics; Nuclear physics; Quantum electrodynamics; Mathematical physics; Quantum mechanics; Superconductivity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002013125,0.00011526,0.0003199611,0.0000704478,0.0003935924,0.00000877218,0.0001542935,0.000005417427,0.0001243562],"category_scores_gemma":[0.0000275571,0.0001005936,0.0001336597,0.0004782584,0.00004335633,0.0000668687,0.0002479534,0.0001242858,0.00000190346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004360322,"about_ca_system_score_gemma":0.0001718752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003393205,"about_ca_topic_score_gemma":0.00002045491,"domain_scores_codex":[0.998845,0.00007823143,0.0002940728,0.0002104391,0.0003798389,0.0001923506],"domain_scores_gemma":[0.9987589,0.0005381141,0.0001915171,0.0001613432,0.0002701771,0.00008001248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009605893,0.004209817,0.002257357,0.00101117,0.000444271,0.000001211614,0.001795991,0.01965292,0.8432273,0.07841833,0.01045105,0.03757003],"study_design_scores_gemma":[0.02061632,0.01976994,0.05158367,0.006426029,0.002077283,0.000003282476,0.004433992,0.03732483,0.2032963,0.29416,0.3567089,0.00359946],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790872,0.0007870324,0.01059098,0.000924659,0.0001080154,0.00216075,0.00525792,0.00001023073,0.001073196],"genre_scores_gemma":[0.9968798,0.00003077215,0.0006024146,0.00009341691,0.00007001279,0.0003755541,0.0006649229,0.00001574179,0.001267414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.639931,"threshold_uncertainty_score":0.4102087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701011438142276,"score_gpt":0.3737809678065074,"score_spread":0.3567708534250847,"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."}}