{"id":"W4403099286","doi":"10.1103/physrevlett.133.141003","title":"Dark Photon Limits from Patchy Dark Screening of the Cosmic Microwave Background","year":2024,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University; Perimeter Institute; University of Waterloo","funders":"European Research Council; Alfred P. Sloan Foundation; Natural Sciences and Engineering Research Council of Canada; University of Toronto; Innovation, Science and Economic Development Canada; Simons Foundation; Horizon 2020 Framework Programme; Ontario Ministry of Research, Innovation and Science; National Aeronautics and Space Administration; U.S. Department of Energy; Government of Canada; National Science Foundation","keywords":"Cosmic microwave background; Physics; Planck; Photon; Dark photon; Dark energy; Astrophysics; Dark matter; Galaxy; Anisotropy; Cosmology; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001655597,0.0007486399,0.0005535851,0.0007623669,0.000336263,0.001197301,0.0008861315,0.0004630352,0.002352099],"category_scores_gemma":[0.009029337,0.0004327391,0.0004366856,0.0004715361,0.001599898,0.001782402,0.0026915,0.00108577,0.0003261424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004069424,"about_ca_system_score_gemma":0.0002373269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008643636,"about_ca_topic_score_gemma":0.0007095727,"domain_scores_codex":[0.9994403,0.0001239981,0.00002564455,0.0001821467,0.0001368789,0.00009106308],"domain_scores_gemma":[0.9929551,0.004377805,0.001086892,0.00105013,0.0002304949,0.0002996512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002810227,0.0001754943,0.2000652,0.0008510692,0.0005259627,0.001330573,0.001149216,0.1185308,0.09627385,0.4868526,0.003607129,0.08782784],"study_design_scores_gemma":[0.0001872236,0.0003342615,0.1867284,0.0002697178,0.0002809667,0.001110989,0.0004564136,0.3160122,0.06359324,0.4236417,0.007144616,0.0002402847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199332,0.001426907,0.06354824,0.0004525188,0.00003616996,0.00001648343,0.000543418,0.0003750519,0.01366808],"genre_scores_gemma":[0.9973404,0.0001910425,0.002046512,0.00005565113,0.00002699595,0.000009827673,0.0001538043,0.00003045018,0.0001452467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002352099,"threshold_uncertainty_score":0.008755744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866500041223488,"score_gpt":0.2866531299347445,"score_spread":0.2679881295225096,"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."}}