{"id":"W2980508536","doi":"10.3847/1538-4357/ab41fb","title":"The Sloan Digital Sky Survey Reverberation Mapping Project: Comparison of Lag Measurement Methods with Simulated Observations","year":2019,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Reverberation mapping; Light curve; Lag; Noise (video); Mathematics; Statistics; Physics; Computer science; Quasar; Astrophysics; Artificial intelligence","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":[0.01064628,0.0005250518,0.0003468458,0.001064105,0.0003767088,0.0008734468,0.001001538,0.0005622196,0.0004895285],"category_scores_gemma":[0.02775843,0.0003108451,0.0003833715,0.001131375,0.0003233588,0.0007814149,0.0008499289,0.0003933884,0.0001913452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008894289,"about_ca_system_score_gemma":0.0008813323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01832516,"about_ca_topic_score_gemma":0.01566479,"domain_scores_codex":[0.9970258,0.001893556,0.0001388441,0.0004000686,0.0004237838,0.0001179232],"domain_scores_gemma":[0.9790202,0.01270222,0.002051562,0.003537821,0.002280528,0.0004077367],"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":[0.002330765,0.0005148276,0.3803392,0.0002546157,0.0005606123,0.0001815056,0.0005611032,0.4942484,0.004447118,0.002722367,0.002916202,0.1109233],"study_design_scores_gemma":[0.0001708926,0.000334002,0.09842889,0.00003803335,0.00003852736,0.0001367676,0.0001433844,0.8931659,0.005666986,0.0007241179,0.001097545,0.00005502477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629923,0.0001763427,0.0336749,0.00008476359,0.00001668406,0.00006399511,0.0009889969,0.001105207,0.0008968663],"genre_scores_gemma":[0.9643098,0.00005597248,0.03298338,0.00003001914,0.000008781918,0.00006193155,0.002202551,0.0001549108,0.0001927405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01832516,"threshold_uncertainty_score":0.0563035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06807847599108223,"score_gpt":0.3098031401226691,"score_spread":0.2417246641315868,"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."}}