{"id":"W4403327681","doi":"10.3847/1538-4365/ad6f0a","title":"Correlation-based Beam Calibration of 21 cm Intensity Mapping","year":2024,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation","keywords":"Calibration; Intensity (physics); Correlation; Beam (structure); Optics; Physics; Materials science; Environmental science; Mathematics; Statistics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002376729,0.0004022154,0.0003919968,0.001052244,0.0004024175,0.0007791367,0.0007900282,0.0004861025,0.0009903824],"category_scores_gemma":[0.007242381,0.0003525571,0.0003873371,0.001512493,0.0003075439,0.0006262744,0.0007737018,0.0005590303,0.0005498456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006513073,"about_ca_system_score_gemma":0.000970785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005890036,"about_ca_topic_score_gemma":0.008312802,"domain_scores_codex":[0.9989792,0.000377087,0.00004663022,0.0002623489,0.0002308065,0.0001039525],"domain_scores_gemma":[0.9969892,0.0008817342,0.0003992762,0.0006997619,0.0009486057,0.00008150328],"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":[0.0005229187,0.0002259965,0.1820163,0.0001843775,0.00029883,0.0001788192,0.0004211984,0.4588808,0.08109859,0.007858025,0.003282343,0.2650318],"study_design_scores_gemma":[0.00002081376,0.00003629458,0.05391271,0.00001607783,0.00003731974,0.00007495529,0.0000314107,0.9206613,0.02265652,0.001023965,0.001489599,0.00003899402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4789625,0.0001804588,0.513915,0.0001216087,0.00005059759,0.00006171439,0.0005676145,0.001742423,0.004398206],"genre_scores_gemma":[0.8797385,0.00005459289,0.1189672,0.00003983241,0.00001434316,0.00003135918,0.000636685,0.0001541392,0.0003633719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005890036,"threshold_uncertainty_score":0.01256955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075167631574677,"score_gpt":0.2231121950189204,"score_spread":0.2123605187031736,"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."}}