{"id":"W3016205385","doi":"10.5281/zenodo.163795","title":"Probing Agn Accretion History Through X-Ray Variability","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Dartmouth College; Johns Hopkins University; Università degli Studi di Napoli Federico II; College of Engineering, Michigan State University; Goddard Space Flight Center; Smithsonian Institution; Michigan State University; European Southern Observatory; Space Telescope Science Institute; Massachusetts Institute of Technology; Princeton University","keywords":"Accretion (finance); Geology; Astrophysics; Astronomy; Physics; Remote sensing; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007578401,0.000334809,0.0003246451,0.001849194,0.0003102633,0.001107098,0.0002995932,0.0003143837,0.001042363],"category_scores_gemma":[0.001056671,0.0002198381,0.000425794,0.001720681,0.0002278249,0.0005475704,0.0007315163,0.0004061722,0.0004606669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000423579,"about_ca_system_score_gemma":0.0001187572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578504,"about_ca_topic_score_gemma":0.003507806,"domain_scores_codex":[0.9997658,0.00003135503,0.00001103646,0.0001003013,0.00004085194,0.00005061389],"domain_scores_gemma":[0.9984059,0.0003591901,0.0007457057,0.0001599326,0.0001611513,0.0001682149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001745513,0.00005287084,0.9455661,0.00009632036,0.0001948345,0.0001745992,0.0001834519,0.001445125,0.0295458,0.0003544122,0.0003812248,0.0218309],"study_design_scores_gemma":[0.000002805604,0.00003441624,0.9954159,0.00001113211,0.00002887337,0.0001532265,0.00003012586,0.001222556,0.001702772,0.0002303276,0.001158664,0.000009181851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883853,0.002241685,0.003976751,0.0001009632,0.0000155805,0.00001396575,0.002140739,0.0001104256,0.00301463],"genre_scores_gemma":[0.9946732,0.0008116102,0.001471418,0.00004943199,0.00004493063,0.0000105848,0.002025232,0.00002523774,0.0008883726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002578504,"threshold_uncertainty_score":0.005126953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083591416866205,"score_gpt":0.2354170090297202,"score_spread":0.2045810948610581,"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."}}