{"id":"W2957826114","doi":"10.1103/physrevlett.123.231105","title":"Canceling Out Intensity Mapping Foregrounds","year":2019,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Intensity mapping; Statistic; Measure (data warehouse); Redshift; Confusion; Intensity (physics); Galaxy; Universe; Computer science; Point (geometry); Physics; Redshift survey; Astrophysics; Optics; Data mining; Statistics; Mathematics","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":[0.00007525449,0.0001449239,0.0003683312,0.00002814223,0.00005194148,0.00001936817,0.0001925231,0.000006093004,0.0001618432],"category_scores_gemma":[0.000003222927,0.000127762,0.0001812794,0.0001459208,0.00003739009,0.0001340417,0.00005758397,0.0002046764,0.0004247492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003472737,"about_ca_system_score_gemma":0.00001557925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006303778,"about_ca_topic_score_gemma":7.203379e-7,"domain_scores_codex":[0.999199,0.0000161346,0.000184411,0.0002497665,0.00009455599,0.0002561458],"domain_scores_gemma":[0.9994548,0.00003170678,0.00009992643,0.0003356752,0.00003382993,0.00004404873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001470489,0.0004677897,0.5854098,0.001454418,0.0006614555,0.000008414941,0.0004887541,0.0006405205,0.04680726,0.08032811,0.02521787,0.258501],"study_design_scores_gemma":[0.001966082,0.0001676251,0.05906713,0.005654806,0.0003652295,0.000006943585,0.0004730057,0.02084052,0.003498264,0.01207522,0.8935531,0.002332025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794123,0.000458745,0.01157044,0.005816195,0.0001943993,0.0003361439,0.000005072281,0.00005544206,0.002151276],"genre_scores_gemma":[0.9945726,0.00003216858,0.0007109157,0.004244653,0.0002839881,0.00004753508,0.00002375088,0.00001407188,0.0000702694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8683353,"threshold_uncertainty_score":0.5459433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195878567480753,"score_gpt":0.2648663990682564,"score_spread":0.2452785423201811,"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."}}