{"id":"W4417307963","doi":"10.48550/arxiv.2506.09170","title":"Mitigating antenna gain errors with HyFoReS in CHIME simulations","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residual; Sky; Intensity mapping; Noise (video); Antenna (radio); Leakage (economics); Background subtraction; Spectral density; Intensity (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008402456,0.0003009161,0.0003882114,0.0002646139,0.0001371044,0.00003692235,0.0003522998,0.000148179,0.0001384942],"category_scores_gemma":[0.00001235206,0.0002881493,0.0001044358,0.0003540074,0.0001087225,0.00009881613,0.0002906771,0.0007667224,0.00001421699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005590939,"about_ca_system_score_gemma":0.0002203599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009868256,"about_ca_topic_score_gemma":0.0002425068,"domain_scores_codex":[0.9986076,0.00003993814,0.0004061483,0.0005051975,0.00008962463,0.0003515059],"domain_scores_gemma":[0.9989886,0.00008362995,0.0002267375,0.000585023,0.00006969617,0.00004634108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004376796,0.00007533762,0.9767351,0.00001948248,0.00009312828,0.000001820798,0.0001269035,0.01702681,0.00007137258,0.004098695,0.00002836514,0.001718659],"study_design_scores_gemma":[0.0008920579,0.00004941368,0.9521058,0.0006294082,0.00008268063,4.75647e-7,0.0007431176,0.03530082,0.0008998488,0.007567673,0.001112387,0.0006162646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866161,0.00004704983,0.009254306,0.0006840416,0.0001195572,0.0004287456,0.0001554125,0.00009207205,0.002602762],"genre_scores_gemma":[0.9949219,0.000001316899,0.003739507,0.00004405059,0.0001412548,0.0001291403,0.0003409649,0.00002302638,0.0006588685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0246292,"threshold_uncertainty_score":0.9999571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332016380078069,"score_gpt":0.2633183908757856,"score_spread":0.2399982270750049,"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."}}