{"id":"W2965895666","doi":"10.3847/1538-4357/ab4a7f","title":"Chandra Spectral and Timing Analysis of Sgr A*'s Brightest X-Ray Flares","year":2019,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University; Canadian Institute for Advanced Research","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Max-Planck-Gesellschaft; Canadian Institute for Advanced Research; Bundesministerium für Wirtschaft und Technologie; McGill University; National Aeronautics and Space Administration; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Smithsonian Institution","keywords":"Flare; Accretion (finance); Static timing analysis; Spectral index; Flare star; Spectral density; Accretion disc; Luminosity; Spectral line","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":[0.0002463557,0.0002560206,0.0002951214,0.003949775,0.0004512115,0.0007214184,0.0002932023,0.0002557549,0.001221173],"category_scores_gemma":[0.0007872349,0.0001285716,0.0005216218,0.001375649,0.0001574037,0.0002148859,0.0003712014,0.0002891333,0.0002807993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002972211,"about_ca_system_score_gemma":0.0003167665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007287111,"about_ca_topic_score_gemma":0.007970934,"domain_scores_codex":[0.9998218,0.000009838397,0.00001320328,0.00004353492,0.00005159364,0.00006002733],"domain_scores_gemma":[0.9988554,0.000150975,0.0003997458,0.0001098747,0.00018711,0.0002970597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001028188,0.0003222863,0.8505415,0.0001520943,0.0004356925,0.001097685,0.0003337475,0.004451826,0.09011644,0.001247982,0.003456702,0.04681597],"study_design_scores_gemma":[0.000008576058,0.00005397019,0.9931716,0.000005755887,0.00003018655,0.0003595427,0.00006115665,0.002648245,0.002302204,0.00007558914,0.001267461,0.00001577618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961582,0.0001305557,0.0004885401,0.0000301366,0.00001148228,0.0000115532,0.00138234,0.0001677768,0.001619439],"genre_scores_gemma":[0.995365,0.00004971234,0.001301629,0.00002623136,0.00001817874,0.000009868218,0.002855557,0.00003086026,0.0003429834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007287111,"threshold_uncertainty_score":0.01448941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053314085035098,"score_gpt":0.2261667748240917,"score_spread":0.2156336339737407,"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."}}