{"id":"W3209218566","doi":"10.1093/mnras/stab3027","title":"OzDES reverberation mapping program: Lag recovery reliability for 6-yr C <scp>iv</scp> analysis","year":2021,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"SLAC National Accelerator Laboratory; H2020 European Research Council; Integrated Electronics Engineering Center, Binghamton University; European Regional Development Fund; Australian Research Council; Science and Technology Facilities Council; University of Illinois at Urbana-Champaign; Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Generalitat de Catalunya; Office of Science; University of Edinburgh; University of Sussex; Institut de Física d'Altes Energies; Eidgenössische Technische Hochschule Zürich; University College London; University of Cambridge; High Energy Physics; Deutsche Forschungsgemeinschaft; Argonne National Laboratory; Centres de Recerca de Catalunya; Ministério da Ciência, Tecnologia e Inovação; Lawrence Berkeley National Laboratory; Financiadora de Estudos e Projetos; University of Pennsylvania; Higher Education Funding Council for England; University of Portsmouth; University of Chicago; Texas A and M University; University of Michigan; Association of Canadian Universities for Research in Astronomy; Ohio State University; University of Nottingham; Stanford University; Ministerio de Ciencia e Innovación; European Commission; U.S. Department of Energy; Fermilab; National Science Foundation","keywords":"Physics; Lag; Reliability (semiconductor); Reverberation; Lag time; Time lag; Astrophysics; Acoustics; Thermodynamics; Biological system; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196999,0.0001657729,0.000319297,0.000008926425,0.00024898,0.00006707259,0.0002528152,0.000138976,0.00002522582],"category_scores_gemma":[0.0002539186,0.0001241655,0.0009484658,0.0003226713,0.0002380022,0.0001205437,0.0002839399,0.000175533,0.00001058851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392907,"about_ca_system_score_gemma":0.00002513323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006629822,"about_ca_topic_score_gemma":0.0005419083,"domain_scores_codex":[0.9985189,0.000108327,0.0003693243,0.0004512904,0.0002318115,0.0003203067],"domain_scores_gemma":[0.9988749,0.0003583709,0.0002316815,0.0004224988,0.00003473602,0.0000778165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000006848515,0.0001504429,0.1041613,0.0000225341,0.0002344495,9.279734e-8,0.0003849984,0.8796218,0.0002831685,0.000001251644,0.001936439,0.01319666],"study_design_scores_gemma":[0.0002080934,0.00004071598,0.5820048,0.00001560102,0.0003432329,1.322279e-8,0.0004538976,0.4099444,0.002864623,0.00006585885,0.003989113,0.00006964612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958084,0.00006531638,0.000913294,0.0005399775,0.0001959399,0.0003620958,0.00001459649,0.00003435637,0.002066023],"genre_scores_gemma":[0.923104,3.779599e-7,0.07560088,0.00009365487,0.0001136971,0.000007558022,0.00003128479,0.00001211479,0.001036427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4778435,"threshold_uncertainty_score":0.506332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008569721282331534,"score_gpt":0.21141641587949,"score_spread":0.2028466945971585,"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."}}