{"id":"W2884708554","doi":"10.22323/1.301.0648","title":"Multiwavelength observations of the blazar BL Lacertae: a new fast TeV γ-ray flare","year":2017,"lang":"en","type":"article","venue":"Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017)","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Associated Universities; Office of Science; National Aeronautics and Space Administration; Smithsonian Institution; Ministerio de Economía y Competitividad; National Science Foundation","keywords":"Blazar; Physics; Flare; Astrophysics; Superluminal motion; Crab Nebula; Gamma ray; Light curve; BL Lac object; Flux (metallurgy); Very Long Baseline Array; Astronomy; Active galactic nucleus; Galaxy","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":[0.0001747682,0.00022904,0.000169273,0.001086996,0.0002436948,0.0005590463,0.0002290653,0.0003005372,0.001005503],"category_scores_gemma":[0.0002561278,0.0001532219,0.0002372393,0.0003974618,0.0001534974,0.0002430402,0.0003815735,0.0003609489,0.0002430434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004989362,"about_ca_system_score_gemma":0.0001060048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006465441,"about_ca_topic_score_gemma":0.01523386,"domain_scores_codex":[0.9999152,0.000004393571,0.00000292241,0.00002158841,0.00002804744,0.00002777204],"domain_scores_gemma":[0.9997503,0.0000196342,0.00008554481,0.00003384097,0.00003574427,0.00007482379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006583229,0.0002310339,0.394334,0.0001160899,0.000215179,0.001518788,0.0006806554,0.0007951322,0.5281699,0.0006051459,0.002547103,0.07012859],"study_design_scores_gemma":[0.00001420545,0.00006998915,0.9915243,0.000006936462,0.00002830482,0.0005549159,0.00003641639,0.0004177101,0.004940408,0.00006843634,0.002326469,0.00001191292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951569,0.0005798341,0.0008845538,0.0001480033,0.00001141092,0.00001945525,0.0008575054,0.0001571801,0.00218509],"genre_scores_gemma":[0.9948164,0.0002330487,0.002176814,0.00007791664,0.00004706152,0.00001259355,0.00115498,0.0000258234,0.001455343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006465441,"threshold_uncertainty_score":0.01285559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345934760623179,"score_gpt":0.2613684694976676,"score_spread":0.2279091218914358,"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."}}