{"id":"W2187412646","doi":"10.1038/nature15755","title":"A large-scale dynamo and magnetoturbulence in rapidly rotating core-collapse supernovae","year":2015,"lang":"en","type":"article","venue":"Nature","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":285,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute; University of Guelph","funders":"","keywords":"Physics; Magnetar; Dynamo; Magnetorotational instability; Astrophysics; Magnetohydrodynamic turbulence; Supernova; Instability; Magnetohydrodynamic drive; Magnetic field; Magnetohydrodynamics; Neutron star; Astronomy; Mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002701729,0.0001797468,0.0002189241,0.00007055874,0.00006320183,0.00006488914,0.0001592981,0.0003121589,0.0001579411],"category_scores_gemma":[0.00001794616,0.0001566224,0.00004436517,0.0002588409,0.00003838989,0.0001636747,0.00008502467,0.001175341,0.0000210429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002156835,"about_ca_system_score_gemma":0.00007111397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001584792,"about_ca_topic_score_gemma":0.0001428463,"domain_scores_codex":[0.9988855,0.00002698349,0.0001878068,0.0003186068,0.000216151,0.0003649719],"domain_scores_gemma":[0.999488,0.00002825546,0.00003989047,0.0001981324,0.00009232957,0.0001533979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002877865,0.00009364077,0.9845334,0.00001434877,0.00001204541,0.00001302009,0.002890882,0.00001899724,0.0004064468,0.001413008,0.002335556,0.008239878],"study_design_scores_gemma":[0.01122378,0.0004153793,0.8484533,0.0003619456,0.00007049758,0.00002993787,0.02051755,0.01726449,0.001077681,0.007547357,0.09128074,0.001757324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928576,0.001578316,0.00009988173,0.000387152,0.0002035684,0.0001960712,0.00004937791,0.00002659725,0.004601411],"genre_scores_gemma":[0.9967733,0.000004522568,0.001677923,0.0002654167,0.0002309897,0.00001835889,0.00003368301,0.00002030686,0.0009755043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1360801,"threshold_uncertainty_score":0.6386876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039976007138088,"score_gpt":0.2476375501801503,"score_spread":0.2372377901087694,"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."}}