{"id":"W3201114642","doi":"10.3847/1538-4357/ac350f","title":"SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals","year":2022,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Vetenskapsrådet; U.S. Department of Energy; Science and Technology Facilities Council; National Science Foundation","keywords":"Neutrino; Supernova; Physics; Neutrino detector; Detector; Event (particle physics); Astrophysics; Neutrino oscillation; Nuclear physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002920314,0.0002078696,0.0002804039,0.00008555242,0.00108955,0.000257891,0.002350182,0.00001135667,0.003557955],"category_scores_gemma":[0.000004324235,0.0001597303,0.0001553216,0.000599028,0.00006825766,0.000287969,0.002351473,0.001328403,0.0002963704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007013573,"about_ca_system_score_gemma":0.0002055311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003597212,"about_ca_topic_score_gemma":0.000002160633,"domain_scores_codex":[0.9973907,0.0003731275,0.0003605109,0.0003929966,0.0009381546,0.0005444966],"domain_scores_gemma":[0.9978426,0.0004276972,0.0001234777,0.001171697,0.000127498,0.0003070898],"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":[0.0006041897,0.002531762,0.004869539,0.000003464068,0.0006753678,0.0000872496,0.001063717,0.2949549,0.4888093,0.05739826,0.04125763,0.1077447],"study_design_scores_gemma":[0.01807534,0.003599499,0.06790757,0.0001543813,0.001391544,0.0001628779,0.008905414,0.2816365,0.1426908,0.1991183,0.2711718,0.005185909],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374143,0.00001894204,0.05418244,0.004291,0.0002699964,0.0003683216,0.002323593,0.00002921187,0.001102132],"genre_scores_gemma":[0.9949204,4.23423e-7,0.0005774211,0.0002532871,0.003536623,0.00002155397,0.0002641967,0.00004166136,0.0003844595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3461184,"threshold_uncertainty_score":0.997353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05497565888542118,"score_gpt":0.3312858371984213,"score_spread":0.2763101783130001,"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."}}