{"id":"W2286613804","doi":"10.1093/mnras/stw276","title":"Towards modelling X-ray reverberation in AGN: piecing together the extended corona","year":2016,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Science and Technology Facilities Council; National Science Foundation","keywords":"Physics; Reverberation; Astrophysics; Reverberation mapping; Corona (planetary geology); Accretion (finance); Active galactic nucleus; Galaxy; Acoustics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003283141,0.0006651902,0.0004381554,0.0004592343,0.0002692724,0.001343178,0.001376782,0.001318439,0.00105488],"category_scores_gemma":[0.00145945,0.0005139734,0.0008209301,0.0003922059,0.0004647082,0.0008946404,0.0007432739,0.0006083336,0.0003332489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006587216,"about_ca_system_score_gemma":0.0005202343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538304,"about_ca_topic_score_gemma":0.007417166,"domain_scores_codex":[0.9999177,0.00002700538,0.000005891982,0.0000205242,0.00001475528,0.0000140561],"domain_scores_gemma":[0.9996042,0.0001591363,0.0001072487,0.00004089772,0.00004965251,0.00003889858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001232208,0.00001358299,0.001884663,0.00001129882,0.00001986608,0.00007273158,0.00004196646,0.994324,0.0007366671,0.001695261,0.00006514706,0.001122573],"study_design_scores_gemma":[0.000003950879,0.000007030331,0.0004060259,0.000002655476,0.000004308965,0.0000105161,0.00000736476,0.9981133,0.00007092195,0.001185202,0.0001852459,0.00000354539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5273287,0.0009756431,0.4603215,0.0005289643,0.00008122233,0.000106395,0.0006662394,0.001130979,0.008860373],"genre_scores_gemma":[0.9572688,0.0008434044,0.0362565,0.00008714435,0.00009302583,0.00009212321,0.0004346609,0.0002880338,0.004636242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538304,"threshold_uncertainty_score":0.03058702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425502366963904,"score_gpt":0.2150533649220814,"score_spread":0.2007983412524423,"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."}}