{"id":"W4391643336","doi":"10.1103/physrevlett.132.061001","title":"Detecting High-Energy Neutrinos from Galactic Supernovae with ATLAS","year":2024,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Nuclear Safety and Security Commission; Alfred P. Sloan Foundation; Japan Society for the Promotion of Science; National Aeronautics and Space Administration; Kavli Institute for Theoretical Physics, University of California, Santa Barbara; Department of Physics, Harvard University; Harvard University; Faculty of Arts and Sciences; National Science Foundation","keywords":"Supernova; Neutrino; Atlas (anatomy); Physics; Astrophysics; Astronomy; Particle physics; Geology; Paleontology","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":[0.0008912134,0.0005361578,0.0004885605,0.0006367906,0.0006044657,0.001315558,0.0005878424,0.0005398307,0.001904007],"category_scores_gemma":[0.001435135,0.000332748,0.0004313045,0.0009474868,0.0003781723,0.0008634584,0.001102219,0.0004393438,0.0005081771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003888794,"about_ca_system_score_gemma":0.0003014001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476956,"about_ca_topic_score_gemma":0.003235357,"domain_scores_codex":[0.9995234,0.0001081098,0.00002038696,0.0001298913,0.0001500668,0.00006824371],"domain_scores_gemma":[0.9991778,0.000292892,0.0001584685,0.0001747739,0.00009325624,0.0001028728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002548083,0.0002413152,0.3636938,0.0004360329,0.0008799567,0.001625481,0.0005164826,0.03000636,0.4672981,0.05953719,0.01138639,0.06183083],"study_design_scores_gemma":[0.0003223511,0.001140123,0.1806075,0.00009436539,0.0008450091,0.006168185,0.0003262766,0.1844904,0.5290801,0.03851021,0.05810107,0.0003144188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8785813,0.001740006,0.07714529,0.0005286389,0.0001851811,0.00004496478,0.003800772,0.001925708,0.03604818],"genre_scores_gemma":[0.9605602,0.0004271605,0.03512851,0.0001251475,0.00006072816,0.00003192374,0.001959868,0.00007268175,0.001633753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001904007,"threshold_uncertainty_score":0.006369531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008438784211792338,"score_gpt":0.2289314654490178,"score_spread":0.2204926812372254,"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."}}