{"id":"W4416184253","doi":"10.1088/1475-7516/2025/11/042","title":"First release of <i>LiteBIRD</i> simulations from an end-to-end pipeline","year":2025,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Agencia Estatal de Investigación; Centre National de la Recherche Scientifique; Centro para el Desarrollo Tecnológico Industrial; Swedish National Space Agency; Japan Aerospace Exploration Agency; U.S. Department of Energy; European Commission; Japan Society for the Promotion of Science; UK Space Agency; Deutsche Forschungsgemeinschaft; Centre National d’Etudes Spatiales; Ministry of Education, Culture, Sports, Science and Technology; National Aeronautics and Space Administration","keywords":"Cosmic microwave background; Pipeline (software); Sky; Detector; Polarization (electrochemistry); Sensitivity (control systems); Ranging; Satellite; COSMIC cancer database","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":[0.001448133,0.001149839,0.0009994522,0.0006056204,0.0007521674,0.001326833,0.00332659,0.001132393,0.02056369],"category_scores_gemma":[0.004615615,0.0007104422,0.001069725,0.0008064797,0.0006710489,0.001150601,0.001129598,0.001989376,0.00372193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317249,"about_ca_system_score_gemma":0.001790781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267236,"about_ca_topic_score_gemma":0.02090858,"domain_scores_codex":[0.9995876,0.0001046433,0.00001801988,0.00006329772,0.0001415091,0.00008489053],"domain_scores_gemma":[0.9984543,0.0006868924,0.00005551794,0.0002461394,0.0003792591,0.0001779221],"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":[0.0005878054,0.0003011071,0.007383726,0.0002450326,0.0003201662,0.0003452816,0.000314779,0.8648743,0.003651443,0.01193317,0.0961619,0.01388129],"study_design_scores_gemma":[0.0002335216,0.00004764592,0.001034312,0.00001892596,0.00003216765,0.00002919425,0.00005088975,0.9772638,0.002148924,0.003053231,0.01605734,0.0000299792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.3970557,0.0006702257,0.2184649,0.002917587,0.001235168,0.0008765742,0.08428398,0.135828,0.158668],"genre_scores_gemma":[0.7105741,0.0003294236,0.1746431,0.001112569,0.000117184,0.001043964,0.08114056,0.02003347,0.01100563],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02267236,"threshold_uncertainty_score":0.0687924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008261902913778065,"score_gpt":0.2767913958465919,"score_spread":0.2685294929328139,"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."}}