{"id":"W4386020559","doi":"10.1093/mnras/stad2495","title":"Towards 21-cm intensity mapping at <i>z</i> = 2.28 with uGMRT using the tapered gridded estimator – III. Foreground removal","year":2023,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Department of Science and Technology, Government of West Bengal; Department of Science and Technology, Ministry of Science and Technology, India; Science and Engineering Research Board; Indian Institute of Technology Kharagpur; Tata Institute of Fundamental Research","keywords":"Physics; Giant Metrewave Radio Telescope; Omega; Astrophysics; Brightness temperature; Spectral density; Intensity (physics); Brightness; Atomic physics; Optics; Galaxy; Radio 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001694045,0.0007536407,0.000457629,0.001216803,0.000427346,0.001150446,0.001238616,0.0007304383,0.002116761],"category_scores_gemma":[0.002038581,0.0004702063,0.001136756,0.0009045511,0.0002681183,0.0004575608,0.00105026,0.0007841027,0.001966571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005206808,"about_ca_system_score_gemma":0.0005497576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007642868,"about_ca_topic_score_gemma":0.01279172,"domain_scores_codex":[0.9995042,0.00009229745,0.00001696821,0.0001552751,0.0001171807,0.0001142087],"domain_scores_gemma":[0.9990997,0.0001126605,0.000216746,0.0002650557,0.0001851203,0.0001207145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001225522,0.0004594781,0.3167674,0.0004363132,0.0007893596,0.000629945,0.001248017,0.1033513,0.2737775,0.005752791,0.01175151,0.2838109],"study_design_scores_gemma":[0.0001967071,0.000159221,0.5019758,0.00009651164,0.0002427064,0.0003656815,0.0001753458,0.4284832,0.04670201,0.003772256,0.01769198,0.0001384371],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7410884,0.000830824,0.2328284,0.000784194,0.0001149693,0.0001191629,0.004514616,0.01132775,0.008391654],"genre_scores_gemma":[0.6998899,0.0001739944,0.2879604,0.000360011,0.00009975759,0.0001147023,0.008698817,0.001131978,0.001570497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007642868,"threshold_uncertainty_score":0.01519674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837292478580899,"score_gpt":0.2178227161753309,"score_spread":0.1994497913895219,"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."}}