{"id":"W4392340152","doi":"10.1103/physrevd.110.022001","title":"Characterization of the astrophysical diffuse neutrino flux using starting track events in IceCube","year":2024,"lang":"en","type":"preprint","venue":"Physical review. D/Physical review. D.","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Alberta; Institute of Particle Physics","funders":"Office of Experimental Program to Stimulate Competitive Research; Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; Physics Division, National Center for Theoretical Sciences; Office of Polar Programs; College of Engineering, Michigan State University; Alliance de recherche numérique du Canada; Helmholtz Alliance for Astroparticle Physics; Institute for Global Prominent Research, Chiba University; RWTH Aachen University; Knut och Alice Wallenbergs Stiftelse; Marsden Fund; Bundesministerium für Bildung und Forschung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation; Belgian Federal Science Policy Office; Deutsche Forschungsgemeinschaft; Deutsches Elektronen-Synchrotron; National Energy Research Scientific Computing Center; Australian Research Council; Western Canada Research Grid; Fonds De La Recherche Scientifique - FNRS; Polarforskningssekretariatet; University of Maryland; Wisconsin Alumni Research Foundation; National Research Foundation of Korea; Villum Fonden; Compute Canada; Canada Foundation for Innovation; Marquette University; Vetenskapsrådet; U.S. Department of Energy; University of Wisconsin-Madison; Nvidia; Carlsbergfondet; Office of Advanced Cyberinfrastructure; European Commission; National Research Foundation; Michigan State University; Fonds Wetenschappelijk Onderzoek","keywords":"Characterization (materials science); Neutrino; Flux (metallurgy); Physics; Track (disk drive); Nuclear physics; Astrophysics; Computer science; Materials science; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005866684,0.0004580775,0.0003605424,0.00147145,0.0003957562,0.0008795928,0.0004290798,0.0002881064,0.0009936392],"category_scores_gemma":[0.001208084,0.0001751455,0.0003733261,0.002033452,0.0004230971,0.0004372173,0.0005338197,0.0004072948,0.0003186092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009230637,"about_ca_system_score_gemma":0.0003814688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01293464,"about_ca_topic_score_gemma":0.01880593,"domain_scores_codex":[0.9996949,0.00003888657,0.00001091608,0.000119295,0.00008139064,0.00005449363],"domain_scores_gemma":[0.9991779,0.0002165343,0.0001899846,0.0001238264,0.0001875845,0.000104214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001843372,0.0003197032,0.8248394,0.0001787904,0.0003810785,0.0008525524,0.0005400248,0.06510293,0.04721608,0.004791326,0.007402031,0.04653269],"study_design_scores_gemma":[0.00006941218,0.0001833736,0.9112947,0.00004936299,0.00006364422,0.000636224,0.0002297628,0.0512909,0.02342704,0.001405558,0.01129616,0.00005390978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970533,0.0001993224,0.004095877,0.00006466246,0.00001630988,0.00005413355,0.01485679,0.0002345825,0.00994532],"genre_scores_gemma":[0.9501678,0.0002396749,0.006544222,0.00006853729,0.00003306887,0.00009308855,0.04160316,0.0001636219,0.001086827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01293464,"threshold_uncertainty_score":0.02571875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913974451403668,"score_gpt":0.3666022899285085,"score_spread":0.3474625454144719,"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."}}