{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002843132,0.0006293302,0.0007199637,0.001017923,0.0003424197,0.001583936,0.0009682379,0.0005812058,0.001594106],"category_scores_gemma":[0.01158898,0.0003153043,0.0005791272,0.001151141,0.0009227809,0.001641441,0.001679025,0.0007602231,0.0006072336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003847527,"about_ca_system_score_gemma":0.0006642406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001267707,"about_ca_topic_score_gemma":0.001292008,"domain_scores_codex":[0.998495,0.0004083651,0.00006364924,0.000426266,0.0004088584,0.0001978829],"domain_scores_gemma":[0.9955322,0.001769395,0.0006928858,0.001350028,0.0004955276,0.000160076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004291582,0.00009566358,0.1440027,0.0003222708,0.0004467183,0.0005318612,0.0008643215,0.04373951,0.07326451,0.1975202,0.003628727,0.5351544],"study_design_scores_gemma":[0.00007153498,0.000295813,0.2020043,0.00008870612,0.0003842576,0.001902993,0.0003819178,0.4235819,0.09739096,0.2427438,0.03095058,0.0002031975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1575804,0.0003706367,0.8346604,0.0003234292,0.00008608727,0.00002536207,0.0002778979,0.001031504,0.005644349],"genre_scores_gemma":[0.8427663,0.0002670625,0.1530857,0.0002562143,0.0002045452,0.00004202042,0.0004750305,0.0003330996,0.002570112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002843132,"threshold_uncertainty_score":0.01503605,"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."}}