{"id":"W4403346193","doi":"10.33232/001c.141394","title":"Cosmic Reionization On Computers: Biases and Uncertainties in the Measured Mean Free Path at the End Stage of Reionization","year":2025,"lang":"en","type":"preprint","venue":"The Open Journal of Astrophysics","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; U.S. Department of Energy","keywords":"Reionization; COSMIC cancer database; Mean free path; Path (computing); Physics; Astrophysics; Environmental science; Computer science; Scattering; Optics; Redshift","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":[0.000788615,0.0002184904,0.0003823591,0.00006134648,0.0002146714,0.0002937842,0.001660965,0.00002120612,0.00001865437],"category_scores_gemma":[0.00001887576,0.000114301,0.0001161561,0.0001895919,0.0001468221,0.0001443952,0.001062902,0.0005199994,8.515644e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000691276,"about_ca_system_score_gemma":0.0001952375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002973634,"about_ca_topic_score_gemma":0.00001774885,"domain_scores_codex":[0.9982734,0.0004899321,0.0005156225,0.0001752468,0.0004020295,0.0001437977],"domain_scores_gemma":[0.9978257,0.0003231828,0.0009416552,0.0006619567,0.0002220183,0.00002551529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001745235,0.001308752,0.006792222,0.000329413,0.001842291,0.0000129657,0.03649981,0.6869758,0.001194348,0.05461593,0.0386846,0.1699987],"study_design_scores_gemma":[0.009449979,0.002303415,0.01652493,0.009783609,0.001504925,0.00002196977,0.03685035,0.01377646,0.0046381,0.8979747,0.005554848,0.001616751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263393,0.0003403686,0.05699075,0.004622349,0.0008328455,0.001576356,0.0009200738,0.000008034022,0.008369884],"genre_scores_gemma":[0.9987105,0.00004123976,0.000334461,0.000365284,0.0001962141,0.000009452535,0.00007259822,0.00001426912,0.0002560282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8433587,"threshold_uncertainty_score":0.4661059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990421102924459,"score_gpt":0.2660303053764176,"score_spread":0.236126094347173,"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."}}