{"id":"W1784900743","doi":"10.3847/0004-637x/820/1/76","title":"NEUTRINO-DRIVEN CONVECTION IN CORE-COLLAPSE SUPERNOVAE: HIGH-RESOLUTION SIMULATIONS","year":2016,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Perimeter Institute","funders":"Sherman Fairchild Foundation; National Centre for Supercomputing Applications; California Institute of Technology; National Science Foundation","keywords":"Turbulence; Convection; Scaling; Energy cascade; Kinetic energy; Momentum (technical analysis); Energy–momentum relation; Shock wave; Accretion (finance)","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":[0.0008570363,0.0006101566,0.001038216,0.0005301989,0.0006165736,0.001003418,0.001667472,0.001338438,0.001602451],"category_scores_gemma":[0.003297672,0.0003879109,0.0008646886,0.0007044016,0.001133176,0.0006079748,0.001030861,0.001135958,0.0001587656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009427727,"about_ca_system_score_gemma":0.0009952802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01761631,"about_ca_topic_score_gemma":0.008655459,"domain_scores_codex":[0.999711,0.0001052945,0.000015875,0.00003216166,0.00006441864,0.0000711751],"domain_scores_gemma":[0.9982376,0.000988347,0.0001574225,0.0001682982,0.0002150117,0.0002332234],"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":[0.0001795598,0.0001634803,0.004494247,0.00003452147,0.00006794392,0.000090375,0.00005574127,0.9910157,0.001501523,0.00136768,0.0002196658,0.0008096084],"study_design_scores_gemma":[0.00004531061,0.00003051352,0.0009585258,0.000003865466,0.00000604624,0.000005835388,0.00001719871,0.9982365,0.0003159538,0.0002982571,0.00007667683,0.000005355736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901903,0.0001695193,0.005140395,0.0002332055,0.00002861743,0.00003904666,0.000494402,0.0002206224,0.003483992],"genre_scores_gemma":[0.9948893,0.00007671113,0.003960523,0.00006183142,0.00001576786,0.00004148042,0.0005195733,0.00006462751,0.0003700948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01761631,"threshold_uncertainty_score":0.0350275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281994582169934,"score_gpt":0.2842779250527916,"score_spread":0.2614579792310923,"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."}}