{"id":"W2513345541","doi":"10.1103/physrevlett.117.091101","title":"Testing General Relativity with Accretion-Flow Imaging of Sgr<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant=\"normal\">A</mml:mi></mml:mrow><mml:mrow><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math>","year":2016,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto; Perimeter Institute; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Périmètre de physique théorique; University of Waterloo; National Science Foundation; Government of Canada; Canadian Institute for Theoretical Astrophysics; Industry Canada; Gordon and Betty Moore Foundation","keywords":"Physics","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":[0.002831835,0.0006004998,0.0003413164,0.0004448784,0.0005251979,0.0009799448,0.000700051,0.0005267753,0.001075268],"category_scores_gemma":[0.008624105,0.0003036588,0.0005622379,0.0004738554,0.0008172608,0.0008527657,0.0009804467,0.0005583245,0.0003016841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005933427,"about_ca_system_score_gemma":0.0004791488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119732,"about_ca_topic_score_gemma":0.0122298,"domain_scores_codex":[0.9986381,0.0007126031,0.00005846803,0.0002861518,0.0001761134,0.0001286181],"domain_scores_gemma":[0.9940845,0.00268052,0.001046699,0.001153279,0.0003287348,0.000706172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002500559,0.0008145893,0.8230428,0.00008485381,0.0008084089,0.0006072229,0.0009105557,0.0897839,0.03168685,0.01294763,0.001768417,0.03504425],"study_design_scores_gemma":[0.0002167873,0.001850139,0.5972915,0.00001892252,0.0002438259,0.0003836926,0.0008103552,0.3722746,0.01562302,0.009433605,0.001749209,0.0001042859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944946,0.0000172184,0.003467838,0.00006722665,0.000007922206,0.000008693525,0.0001292427,0.00008133533,0.001725721],"genre_scores_gemma":[0.9958818,0.00001015049,0.003586648,0.00002040767,0.000008471962,0.000004311534,0.0003428782,0.00002050478,0.000124951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0119732,"threshold_uncertainty_score":0.02380705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715347558756094,"score_gpt":0.2399788577721194,"score_spread":0.2228253821845585,"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."}}