{"id":"W4394029501","doi":"10.1088/1475-7516/2025/01/140","title":"Characterization of contaminants in the Lyman-alpha forest auto-correlation with DESI","year":2025,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; Perimeter Institute; University of Waterloo","funders":"High Energy Physics; Science and Technology Facilities Council; Office of Science; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Division of Astronomical Sciences; Institut de Física d'Altes Energies; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; U.S. Department of Energy; European Commission; Centres de Recerca de Catalunya; Gordon and Betty Moore Foundation; HORIZON EUROPE Framework Programme; Consejo Nacional de Ciencia y Tecnología; National Science Foundation","keywords":"Alpha (finance); Environmental science; Characterization (materials science); Lyman-alpha forest; Contamination; Environmental chemistry; Astrobiology; Astrophysics; Physics; Chemistry; Ecology; Statistics; Mathematics; Optics; Biology; Intergalactic medium; Galaxy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000229975,0.00007263842,0.0001621052,0.00004936235,0.00006740987,0.00001379138,0.00008443765,0.00001781398,0.000004841356],"category_scores_gemma":[0.000006050811,0.000050645,0.00002879226,0.0001894979,0.00009091589,0.000304262,0.00001250574,0.0001139438,9.221856e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528289,"about_ca_system_score_gemma":0.00006793402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001262856,"about_ca_topic_score_gemma":0.000004067293,"domain_scores_codex":[0.9993419,0.00006959635,0.0003251134,0.00005642958,0.00009237048,0.0001146026],"domain_scores_gemma":[0.9993421,0.0000613987,0.0003672618,0.00008245066,0.0001282587,0.0000184813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007767464,0.0001334762,0.9626504,0.000007796225,0.00003170967,6.611175e-8,0.0006930575,0.0002690877,0.003018822,0.03225973,0.000007787543,0.0008503871],"study_design_scores_gemma":[0.0008998284,0.0001564568,0.9783582,0.00003814119,0.00004181186,0.000004424463,0.00032424,0.002746722,0.002526426,0.01485504,0.000008340137,0.00004036958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960981,0.00001170784,0.03865318,0.0001681249,0.00005595567,0.00009391517,0.000002264209,0.000001935399,0.00003187631],"genre_scores_gemma":[0.999741,0.000002084653,0.0001649969,0.00000739839,0.00005544155,0.000004285171,0.000006312381,0.000003370949,0.00001511173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03875996,"threshold_uncertainty_score":0.2065243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006121013183801406,"score_gpt":0.2155361877882243,"score_spread":0.2094151746044229,"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."}}