{"id":"W3005330457","doi":"10.3847/1538-4357/abf7c4","title":"Supernova Model Discrimination with Hyper-Kamiokande","year":2021,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology; University of Toronto; University of Winnipeg; York University; University of British Columbia; University of Victoria; University of Regina; Carleton University; TRIUMF","funders":"Science and Technology Facilities Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Japan Society for the Promotion of Science; Ministry of Science, ICT and Future Planning; Russian Foundation for Basic Research; Ministry of Education, Culture, Sports, Science and Technology; Horizon 2020 Framework Programme; UK Research and Innovation","keywords":"Physics; Supernova; Neutrino; Astrophysics; Astronomy; Type II supernova; Neutrino detector; Accretion (finance); Neutron star; Neutrino oscillation; Particle 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006694031,0.0004590953,0.0003824639,0.0003658299,0.0002099013,0.0006216143,0.0008791345,0.0005661581,0.001517859],"category_scores_gemma":[0.002071749,0.0002099029,0.0006636034,0.0002016351,0.0003334876,0.0003897528,0.0005076859,0.0006260883,0.0001176669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005533622,"about_ca_system_score_gemma":0.0004332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00572147,"about_ca_topic_score_gemma":0.003083349,"domain_scores_codex":[0.9998385,0.00004802696,0.00001126984,0.00003931407,0.00003124861,0.00003161802],"domain_scores_gemma":[0.9988695,0.0006322706,0.0001224303,0.0001235659,0.0001489477,0.0001032495],"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":[0.0002792008,0.0001291396,0.01775904,0.00003156736,0.0001228153,0.0001200444,0.00004423636,0.9723712,0.004035296,0.002503356,0.0002799698,0.002324147],"study_design_scores_gemma":[0.0000300746,0.00005311256,0.00146535,0.000001850564,0.0000128939,0.00001476284,0.000006555958,0.9958987,0.002021837,0.0003740207,0.0001142984,0.000006578329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925483,0.00004509923,0.005691965,0.00006198875,0.00004108585,0.00002166925,0.0002000289,0.0002684446,0.001121455],"genre_scores_gemma":[0.9967664,0.00001656714,0.00265377,0.00002011489,0.000004407869,0.00001249815,0.0002298476,0.00002942414,0.0002668431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00572147,"threshold_uncertainty_score":0.01137638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190060352547986,"score_gpt":0.2189413496409708,"score_spread":0.2070407461154909,"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."}}