{"id":"W4389057533","doi":"10.1103/physrevd.108.103536","title":"CMB-S4 forecasts for constraints on <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mi>f</mml:mi><mml:mrow><mml:mi>NL</mml:mi></mml:mrow></mml:msub></mml:math> through <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>μ</mml:mi></mml:math>-distortion anisotropy","year":2023,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"H2020 Marie Skłodowska-Curie Actions; Science and Technology Facilities Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Netherlands Organization for International Cooperation in Higher Education; National Science Foundation; Royal Society; Simons Foundation; Alfred P. Sloan Foundation; H2020 European Research Council; Agencia Estatal de Investigación; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Physics; Cosmic microwave background; Spectral density; Redshift; Energy (signal processing); Inverse; Particle physics; Astrophysics; Anisotropy; Quantum mechanics; Statistics; Galaxy; Geometry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008682923,0.003144677,0.002457842,0.003388256,0.001997527,0.00634372,0.006139527,0.008833913,0.4055409],"category_scores_gemma":[0.0155202,0.002420202,0.003172693,0.007803467,0.0008612251,0.004849745,0.002764377,0.00745921,0.3414055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006604475,"about_ca_system_score_gemma":0.004935666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05701914,"about_ca_topic_score_gemma":0.04647972,"domain_scores_codex":[0.9973226,0.0004512891,0.0001303159,0.0002766968,0.001422397,0.0003967156],"domain_scores_gemma":[0.9921281,0.001470576,0.0006259777,0.001653592,0.002780308,0.001341343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001355537,0.00005345129,0.0002739867,0.0001219899,0.00001780112,0.00003999177,0.00003533464,0.001055242,0.0004089636,0.008130142,0.979557,0.01017049],"study_design_scores_gemma":[0.0003753687,0.00005358473,0.004804526,0.0002417796,0.00002452953,0.00005867702,0.0001010363,0.003913923,0.001198358,0.01564733,0.9734595,0.0001213321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002785095,0.001373631,0.02535369,0.01794432,0.004640718,0.0008248108,0.5669275,0.02377472,0.3563756],"genre_scores_gemma":[0.02768954,0.002583181,0.1175358,0.01032831,0.003036639,0.004225223,0.5690436,0.05728805,0.2082697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4055409,"threshold_uncertainty_score":0.8479238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201934786525641,"score_gpt":0.3159173371599799,"score_spread":0.2938979892947235,"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."}}