{"id":"W4408783897","doi":"10.1103/physrevd.111.063065","title":"Inferring the morphology of the Galactic Center excess with Gaussian processes","year":2025,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Aspen Center for Physics; Kavli Institute for Theoretical Physics, University of California, Santa Barbara; Simons Foundation; High Energy Physics; Mainz Institute for Theoretical Physics, Johannes Gutenberg University Mainz; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Morphology (biology); Galactic Center; Center (category theory); Gaussian; Statistical physics; Astrophysics; Geography; Geology; Physics; Galaxy; Paleontology; Chemistry; Crystallography","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":[0.001527516,0.0005282867,0.0003921965,0.001398748,0.0003096263,0.00182519,0.001015362,0.000886564,0.0004496548],"category_scores_gemma":[0.005506177,0.0004606388,0.000980812,0.001066677,0.0006269848,0.001209729,0.0008418731,0.0005620313,0.0003042444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418896,"about_ca_system_score_gemma":0.0006130466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01584332,"about_ca_topic_score_gemma":0.01130777,"domain_scores_codex":[0.9996669,0.00008429791,0.00001279633,0.0001264698,0.00005513266,0.00005438236],"domain_scores_gemma":[0.9987518,0.0004819612,0.0002364407,0.000263195,0.000169557,0.00009709393],"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":[0.0001667947,0.00006707792,0.2550842,0.00003433967,0.0001510195,0.0002776688,0.0002102344,0.6838515,0.006187805,0.01267967,0.001191533,0.04009812],"study_design_scores_gemma":[0.00001225229,0.00001326103,0.03392697,0.000007246572,0.00001818891,0.00007206534,0.00004709531,0.9582319,0.001020955,0.006151576,0.0004725088,0.00002612674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8389643,0.0001530208,0.1578647,0.000174479,0.000009837596,0.00002730352,0.0004474172,0.0007650123,0.001593922],"genre_scores_gemma":[0.985686,0.00005163134,0.01346102,0.00003089141,0.00001010428,0.000008272879,0.0004712302,0.00006422499,0.0002167282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01584332,"threshold_uncertainty_score":0.03150225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123856375337441,"score_gpt":0.3712622423231648,"score_spread":0.3588766047894207,"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."}}