{"id":"W2952109313","doi":"10.1088/1475-7516/2019/09/037","title":"Time-sliced perturbation theory with primordial non-Gaussianity and effects of large bulk flows on inflationary oscillating features","year":2019,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"National Research Foundation; CERN; Russian Foundation for Basic Research; Danmarks Grundforskningsfond; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Bispectrum; Physics; Cosmological perturbation theory; Resummation; Non-Gaussianity; Cosmology; Spurious relationship; Gaussian; Spectral density; Primordial fluctuations; De Sitter universe; Perturbation (astronomy); Feynman diagram; Perturbation theory (quantum mechanics); Inflation (cosmology); Theoretical physics; Statistical physics; Nonlinear system; Mathematical physics; Quantum mechanics; Cosmic microwave background; Anisotropy; Universe","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":[0.0004219182,0.0009779815,0.0004342942,0.0006779823,0.0004331523,0.0006816211,0.000931296,0.0005037212,0.002188261],"category_scores_gemma":[0.0009433787,0.0002687446,0.0009274601,0.0003506532,0.001339788,0.001197491,0.0008093224,0.0008905169,0.0002106915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006573641,"about_ca_system_score_gemma":0.0004912592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156734,"about_ca_topic_score_gemma":0.00112542,"domain_scores_codex":[0.9998976,0.00004298935,0.000004699105,0.00001246189,0.00002742351,0.0000148443],"domain_scores_gemma":[0.9996516,0.00006611364,0.00008534291,0.00005461342,0.00005096525,0.00009142033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006339463,0.00004370253,0.0006053402,0.00005341632,0.00003924885,0.00054591,0.0001287791,0.06126814,0.0132911,0.9203479,0.0005475702,0.003065464],"study_design_scores_gemma":[0.00003475271,0.00005682774,0.0009421961,0.00001058682,0.00002243318,0.0002719666,0.00004065542,0.6501641,0.001785701,0.3455425,0.001108257,0.00002011026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4596253,0.0007448461,0.4975124,0.00089034,0.0004536629,0.00006262273,0.0001067192,0.0005407875,0.04006324],"genre_scores_gemma":[0.9444053,0.0004724172,0.04142787,0.0001847554,0.0002344314,0.00005312253,0.00008325329,0.0002199962,0.01291902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002188261,"threshold_uncertainty_score":0.007320464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002105769756744023,"score_gpt":0.212677493995009,"score_spread":0.210571724238265,"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."}}