{"id":"W4321276238","doi":"10.48550/arxiv.2302.07906","title":"A structured jet explains the extreme GRB 221009A","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Goddard Space Flight Center; Jet Propulsion Laboratory; Institut Périmètre de physique théorique; Government of Canada; Ministry of Colleges and Universities; Lomonosov Moscow State University; National Natural Science Foundation of China; United States-Israel Binational Science Foundation; California Institute of Technology; European Commission; National Science Foundation; National Aeronautics and Space Administration","keywords":"Afterglow; Gamma-ray burst; Physics; Astrophysics; Jet (fluid); COSMIC cancer database; Stars; Brightness; Approx; Energy (signal processing); Event (particle physics); Astronomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001115818,0.0001721878,0.0001753283,0.0004381736,0.0001835908,0.001022349,0.0002538157,0.0004561229,0.001394854],"category_scores_gemma":[0.0005580373,0.000131044,0.0001932981,0.0003825916,0.0005759537,0.0005264336,0.0004815526,0.0004244233,0.0003854804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678608,"about_ca_system_score_gemma":0.00009228806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003624248,"about_ca_topic_score_gemma":0.0003287485,"domain_scores_codex":[0.9999574,0.000003756402,0.000003161603,0.00001362351,0.00001007238,0.00001190846],"domain_scores_gemma":[0.9997208,0.00007018642,0.00009484473,0.00004203779,0.00002514034,0.00004694479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001359503,0.0003214086,0.482053,0.0004681871,0.0001821162,0.01652167,0.002377777,0.02369805,0.2029926,0.1407348,0.008703182,0.1205877],"study_design_scores_gemma":[0.0001619715,0.0002437029,0.7814571,0.0001324136,0.00008672133,0.01245672,0.0008993669,0.05837261,0.01342314,0.120348,0.01233827,0.00008004526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821891,0.001119858,0.008481962,0.0004150147,0.00006018837,0.0000127582,0.0003012747,0.0001759555,0.007243921],"genre_scores_gemma":[0.9979569,0.0002574328,0.0008968899,0.00006470287,0.00004962673,0.000003175622,0.0001295566,0.00001693312,0.0006248362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001394854,"threshold_uncertainty_score":0.004666269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036838823883843,"score_gpt":0.194301199263354,"score_spread":0.09061731687496966,"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."}}