{"id":"W4379883431","doi":"10.1093/mnras/stad1697","title":"Uncovering the geometry of the hot X-ray corona in the Seyfert galaxy NGC 4151 with IXPE","year":2023,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Goddard Space Flight Center; Istituto Nazionale di Fisica Nucleare; Centre National de la Recherche Scientifique; Agenzia Spaziale Italiana; Centre National d’Etudes Spatiales; Institut sur la Nutrition et les Aliments Fonctionnels; Istituto Nazionale di Astrofisica; Marshall Space Flight Center; National Aeronautics and Space Administration","keywords":"Physics; Astrophysics; Galaxy; Astronomy; Corona (planetary geology); Hubble sequence; Active galactic nucleus; X-ray; Luminous infrared galaxy; Optics; Astrobiology","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":[0.00009974305,0.0001880553,0.0001365187,0.0007366402,0.0002055747,0.0006973263,0.0001366385,0.0001855232,0.001175373],"category_scores_gemma":[0.0002989202,0.0001393892,0.0001685553,0.0003849976,0.0002105582,0.0002639468,0.0003832235,0.0001319295,0.0002172513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000195914,"about_ca_system_score_gemma":0.00007147488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917462,"about_ca_topic_score_gemma":0.002231528,"domain_scores_codex":[0.9999455,0.000006195644,0.000001804167,0.00001740613,0.00001389034,0.00001518364],"domain_scores_gemma":[0.9998764,0.00001600807,0.00004380442,0.00002912082,0.00001277483,0.00002183958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003512919,0.00004630749,0.815608,0.00006376334,0.0001327366,0.001409734,0.0008603296,0.009468917,0.1445778,0.001497061,0.0005616884,0.02542234],"study_design_scores_gemma":[0.000003296627,0.00002945519,0.992704,0.000006781609,0.0000145499,0.0002911281,0.0001833858,0.003218501,0.002497036,0.0001970911,0.0008495558,0.000005250191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982556,0.00009698065,0.0004379988,0.00002240842,0.00000121541,0.000002121561,0.0001051542,0.00002166059,0.001057029],"genre_scores_gemma":[0.9993969,0.00004229005,0.000250181,0.000004514618,0.000003031465,9.375408e-7,0.0001470599,0.000004097456,0.0001510102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001917462,"threshold_uncertainty_score":0.003931999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009942938450997732,"score_gpt":0.2042555384165653,"score_spread":0.1943125999655676,"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."}}