{"id":"W2093073139","doi":"10.1093/mnras/stt2497","title":"Simulating cosmic reionization: how large a volume is large enough?","year":2014,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"South East Physics Network; Science and Technology Facilities Council; University of Toronto; Department of Mechanical Engineering, University of Texas at Austin; National Aeronautics and Space Administration; Chosun University; University of Sussex; University of Portsmouth; National Science Foundation; Compute Canada; University of Texas at Austin; Agence Nationale de la Recherche; Government of Ontario; Vetenskapsrådet","keywords":"Reionization; Physics; Astrophysics; COSMIC cancer database; Kurtosis; Redshift; Observable; Radiative transfer; Statistics; Galaxy; Optics","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":[0.0006128948,0.0006661952,0.0009043766,0.0003333242,0.0004697456,0.001040719,0.001351816,0.0009106246,0.001710525],"category_scores_gemma":[0.004092357,0.0003061091,0.0006769968,0.0005782157,0.0007201785,0.0009298703,0.0009427265,0.001080514,0.000160391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000779055,"about_ca_system_score_gemma":0.000893707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296642,"about_ca_topic_score_gemma":0.01459245,"domain_scores_codex":[0.9997945,0.00007174898,0.000006958259,0.00002822223,0.00004426603,0.00005439812],"domain_scores_gemma":[0.9989715,0.0005904237,0.0000959607,0.0001065934,0.00009414442,0.0001413003],"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":[0.0001413666,0.00005070965,0.0082479,0.00004388622,0.00009044268,0.000104751,0.00006172598,0.9844971,0.001717921,0.001638756,0.0004651468,0.002940411],"study_design_scores_gemma":[0.0000936599,0.0000710118,0.002632152,0.0000152293,0.00004390023,0.00003200203,0.00007887413,0.9923953,0.001717105,0.001921403,0.000980363,0.00001912706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764109,0.0005050201,0.01383483,0.0007559454,0.00008304997,0.00006336483,0.00092745,0.0007777972,0.006641521],"genre_scores_gemma":[0.9879866,0.0002023491,0.01006674,0.0001326485,0.0000215638,0.00004695324,0.000768348,0.0002053998,0.00056948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02296642,"threshold_uncertainty_score":0.04566544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005413982044401455,"score_gpt":0.1921869128795595,"score_spread":0.186772930835158,"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."}}